APF-CPP: An Artificial Potential Field Based Multi-robot Online Coverage Path Planning Approach

Communication-Efficient and Differentially-Private Distributed Nash Equilibrium Seeking With Linear Convergence

Compression-Based Privacy Preservation for Distributed Nash Equilibrium Seeking in Aggregative Games

Consistent and Asymptotically Efficient Localization from Range-Difference Measurements

Differential Privacy in Distributed Optimization with Gradient Tracking

Distributed Average Consensus via Noisy and Non-Coherent Over-the-Air Aggregation

Distributed Nash equilibrium seeking with stochastic event-triggered mechanism

Generalized Multi-kernel Maximum Correntropy Kalman Filter for Disturbance Estimation

GMPC: Geometric Model Predictive Control for Wheeled Mobile Robot Trajectory Tracking

H₂ Controller Synthesis for Compartmental Systems via ADMM

Harmonic-Coupled Riccati Equation and its Applications in Distributed Filtering

Hybrid Transmission Scheduling Protocol for State Estimation over a Constrained Channel

Multikernel Correntropy-Based Orientation Estimation of IMUs: Gradient Descent Methods

Online Pareto optimal control of mean-field stochastic multi-player systems using policy iteration

Optimal Transmission Scheduling over Multi-hop Networks: Structural Results and Reinforcement Learning

Performance analysis for cyber–physical systems under two types of stealthy deception attacks

Sparse sensor selection for distributed systems: An l₁-relaxation approach

Direct Shooting Method for Numerical Optimal Control: A Modified Transcription Approach

Over-the-air Federated Policy Gradient

Real-time Model Predictive Contouring Control via Block Successive Convex Approximation

A Differentially Private Method for Distributed Optimization in Directed Networks via State Decomposition

A Privacy-Preserving Finite-Time Push-Sum based Gradient Method for Distributed Optimization over Digraphs

Compact Maximum Correntropy-Based Error State Kalman Filter for Exoskeleton Orientation Estimation

Distributed Cooperative LQR Design for Multi-Input Linear Systems

Event-Triggered Distributed State Estimation: A Conditional Expectation Method

Event-triggered Sensor Scheduling for Remote State Estimation with Error-Detecting Code

LASSO-Based Detection and Identification of Actuator Integrity Attacks in Remote Control Systems

Linear Quadratic Control of Positive Systems: A Projection-Based Approach

MILP Acceleration: A Survey from Perspectives of Simplex Initialization and Learning-Based Branch and Bound

Multi-Kernel Correntropy Regression: Robustness, Optimality, and Application on Magnetometer Calibration

Neural Network-based Distributed Generalized Nash Equilibrium Seeking for Uncertain Nonlinear Multi-agent Systems

Privacy-Preserving Push-Sum Average Consensus Via State Decomposition

Sensor selection for remote state estimation with QoS requirement constraints

Stochastic Event-Triggered Algorithm for Distributed Convex Optimisation

Stochastic Event-Triggered Variational Bayesian Filtering

Towards Event-Based State Estimation for Neuromorphic Event Cameras

A Privacy-Preserving Finite-Time Push-Sum based Gradient Method for Distributed Optimization over Digraphs

Event-triggered Sensor Scheduling for Remote State Estimation with Error-Detecting Code

Kalman Filter based Attack Detection for Adaptive Cruise Control Systems

LQG Control Over SWIPT-enabled Wireless Communication Network

Model-Unknown Spoofing Attack via False Data Injections

Multi-kernel Maximum Correntropy Kalman Filter for Orientation Estimation

Optimizing Field-of-View for Multi-Agent Path Finding via Reinforcement Learning: A Performance and Communication Overhead Study

Consensus-based distributed filtering with fusion step analysis

Distributed State Estimation for Continuous-time Linear Systems with Correlated Measurement Noise

Joint Power Allocation for Remote State Estimation with SWIPT

Joint Sensor and Actuator Placement for Infinite-Horizon LQG Control

Learning-Based DoS Attack Power Allocation in Multiprocess Systems

Multi-Kernel Maximum Correntropy Kalman Filter

Multi-kernel Maximum Correntropy Kalman Filter for Orientation Estimation

Preference-based Assistance Map Learning with Robust Adaptive Oscillators

Privacy Preserving via Secure Summation in Distributed Kalman Filtering

Proportional Tracking Control of Positive Linear Systems

Robust Admittance Control for Human Arm Strength Augmentation with Guaranteed Passivity: A Complementary Design

Sensor scheduling design for complex networks under a distributed state estimation framework

Strategic DoS Attack in Continuous Space for Cyber-Physical Systems over Wireless Networks

Coverage Control for a Multi-robot Team with Heterogeneous Capabilities using Block Coordinate Descent (BCD) Method

H∞ Control of Linear Uncertain Systems with Positivity Constraints

Improving Primal Heuristics for Mixed Integer Programming Problems based on Problem Reduction: A Learning-based Approach

LQR Design for Discrete-Time Positive Systems: A First-Order Method

Multi-Objective Admittance Control: An LMI-Based Method

Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach

A comprehensive swarming intelligent method for optimizing deep learning-based object detection by unmanned ground vehicles

Encryption scheduling for remote state estimation under an operation constraint

Interference Game for Intelligent Sensors in Cyber–physical Systems

Learning hidden Markov models for linear Gaussian systems with applications to event-based state estimation

Max-Min Fair Sensor Scheduling: Game-theoretic Perspective and Algorithmic Solution

Multi-Party Dynamic State Estimation that Preserves Data and Model Privacy

Optimal unbiased linear sensor fusion over multiple lossy channels with collective observability

Performance Evaluation of Distributed Linear Regression Kalman Filtering Fusion

Randomized Consensus-Based Distributed Kalman Filtering Over Wireless Sensor Networks

Remote State Estimation in the Presence of an Active Eavesdropper

Remote State Estimation with a Strategic Sensor Using a Stackelberg Game Framework

Remote state estimation with usage-dependent Markovian packet losses

Sparse Linear Injection Attack on Multi-Agent Consensus Control Systems

Stochastic Event-based Sensor Schedules for Remote State Estimation in Cognitive Radio Sensor Networks

Time Synchronization Attack and Countermeasure for Multisystem Scheduling in Remote Estimation

Event-Triggered Active Disturbance Rejection Control: Theory and Applications

A high-gain approach to event-triggered control

Event-triggered active disturbance rejection control

Event-triggered active disturbance rejection control of dc torque motors

Event-triggered adaptive disturbance rejection for artificial pancreas

Event-triggered adrc for electric cylinders with pd-type event-triggering conditions

Event-triggered attitude tracking for rigid spacecraft

Event-triggered extended state observer

Introduction

Performance assessment of discrete-time extended state observers

Summary and future work

Relative State Formation-based Warehouse Multi-robot Collaborative Parcel Moving

An Event-Based Stealthy Attack on Remote State Estimation

Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems

Defensive deception against reactive jamming attacks in remote state estimation

Distributed Kalman Filters with State Equality Constraints: Time-Based and Event-Triggered Communications

Distributed state estimation for uncertain linear systems: A regularized least-squares approach

Drift-Free and Self-Aligned IMU-Based Human Gait Tracking System With Augmented Precision and Robustness

Dynamical network size estimation from local observations

Learning Optimal Scheduling Policy for Remote State Estimation under Uncertain Channel Condition

Mean-Field Transmission Power Control in Dense Networks

On the Nonexistence of Event Triggers That Preserve Gaussian State in Presence of Packet-Drop

On the Performance Analysis of Reset Attack in Cyber-Physical Systems

Optimal Denial-Of-Service Attack Energy Management Against State Estimation Over an SINR-Based Network

Optimal Scheduling of Multiple Sensors over Lossy and Bandwidth Limited Channels

Time Decision for Multi-Input and Multi-Output Networked Control Systems

Whittle Index Policy for Dynamic Multichannel Allocation in Remote State Estimation

Distributed Optimisation with Stochastic Event-Triggered Multi-Agent Control Algorithm

Drift-Free and Self-Aligned IMU-based Human Gait Tracking System with Augmented Precision and Robustness

Dynamic Pricing for Power Control in Remote State Estimation

Optimal Design of a Conveyor-Based Automatic Sorting System

Upper Extremity Load Reduction for Lower Limb Exoskeleton Trajectory Generation Using Ankle Torque Minimization

Variable Stiffness Control with Strict Frequency Domain Constraints for Physical Human-Robot Interaction

Consensus-Based Data-Privacy Preserving Data Aggregation

Distributed Filtering Under False Data Injection Attacks

Distributed Privacy-Preserving Data Aggregation Against Dishonest Nodes in Network Systems

DoS Attacks on Remote State Estimation With Asymmetric Information

Efficient Linear Sensor Fusion Over Multiple Lossy Channels With Local Observability

Event-triggered Minimax State Estimation With a Relative Entropy Constraint

Event-Triggered Sampled-Data Control: An Active Disturbance Rejection Approach

Pricing and Selection of Channels for Remote State Estimation Using a Stackelberg Game Framework

Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model Approach

Worst-Case Innovation-Based Integrity Attacks With Side Information on Remote State Estimation

An LQG Motivated Leader-follower Consensus with Uncertainty

Finite time encryption schedule in the presence of an eavesdropper with operation cost

On the performance analysis of binary hypothesis testing with byzantine sensors

Optimal Continuous Glucose Monitoring Sensor Calibration for Patients with Type 1 Diabetes

Optimal DoS Attacks on Remote State Estimation with a Router

Zeno-free stochastic distributed event-triggered consensus control for multi-agent systems

Attack Allocation on Remote State Estimation in Multi-systems: Structural Results and Asymptotic Solution

Causality Countermeasures for Anomaly Detection in Cyber-Physical Systems

Detection against linear deception attacks on multi-sensor remote state estimation

Infinite Horizon Optimal Transmission Power Control for Remote State Estimation Over Fading Channels

Multi-Sensor Kalman Filtering With Intermittent Measurements

Optimal Attack Energy Allocation against Remote State Estimation

Optimal Denial-of-Service Attack Scheduling With Energy Constraint Over Packet-Dropping Networks

Optimal scheduling of multiple sensors over shared channels with packet transmission constraint

Performance Assessment of Discrete-Time Extended State Observers: Theoretical and Experimental Results

Practical Closed-loop Dynamic Pricing in Smart Grid for Supply and Demand Balancing

Quickest Change Detection in Adaptive Censoring Sensor Networks

Sequential Fusion Estimation for Clustered Sensor Networks

State estimation over delayed mutihop network

Toward Event-Triggered Extended State Observer

Worst-case Stealthy Innovation-based Linear Attack on Remote State Estimation

A Novel Warehouse Multi-Robot Automation System with Semi-Complete and Computationally Efficient Path Planning and Adaptive Genetic Task Allocation Algorithms

Game-Theoretic Pricing and Selection with Fading Channels

Stochastic Optimal Control of Dynamic Queue Systems: A Probabilistic Perspective

A Game-Theoretic Approach to Fake-Acknowledgment Attack on Cyber-Physical Systems

A Multi-channel Transmission Schedule For Remote State Estimation Under DoS Attacks

Accurate Clock Synchronization in Wireless Sensor Networks with Bounded Noise

Consequence Analysis of Innovation-based Integrity Attacks with Side Information on Remote State Estimation

Event-Based State Estimation of Hidden Markov Models Through a Gilbert-Elliott Channel

Event-Triggered State Estimation: Experimental Performance Assessment and Comparative Study

Improved Results on Transmission Power Control for Remote State Estimation

Multi-sensor Transmission Management for Remote State Estimation under Coordination

Optimal Linear Cyber-Attack on Remote State Estimation

Optimal Sensor Scheduling for Multiple Linear Dynamical Systems

Power Control of an Energy Harvesting Sensor for Remote State Estimation

Quickest Change Detection With Observation Scheduling

SINR-Based DoS Attack on Remote State Estimation: A Game-theoretic Approach

Stochastic Game in Remote Estimation Under DoS Attacks

Stochastic Link Activation for Distributed Filtering Under Sensor Power Constraint

The Performance and Limitations of ϵ-stealthy Attacks on Higher Order Systems

A Game-theoretic Approach to Remote State Estimation in Presence of a DoS Attacker

Consequence Analysis of Innovation-based Integrity Attacks with Side Information on Remote State Estimation

Multi-sensor Transmission Management for Remote State Estimation under Coordination

On the Nonexistence of Event-based Triggers that preserve Gaussian State in Presence of Package-Drop

Optimal Denial-of-Service Attack on Feedback Channel against Acknowledgment-based Sensor Power Schedule for Remote Estimation

Optimal DoS Attack Strategy Against Remote State Estimation Over Lossy Networks

Optimal Innovation-based Deception Attack on Remote State Estimation

Optimal Scheduling of Multiple Sensors with Packet Length Constraint

Optimal Stealthy Attack under KL Divergence and Countermeasure with Randomized Threshold

Sensor Selection and Routing Design for State Estimation over Wireless Sensor Networks

Stochastic Game in Remote Estimation under DoS Attacks

An Opportunistic Sensor Scheduling Solution to Remote State Estimation over Multiple Channels

Consensus Under Bounded Noise in Discrete Network Systems: An Algorithm With Fast Convergence and High Accuracy

Finite-Horizon Gaussianity-Preserving Rvent-Based Sensor Scheduling in Kalman Filter Applications

Multi-Sensor Scheduling for State Estimation with Event-Based, Stochastic Triggers

Optimal DoS Attack Scheduling in Wireless Networked Control System

Event-Based State Estimation: A Stochastic Perspective

A Constrained Optimization Approach

A Set-Valued Filtering Approach

A Stochastic Event-Triggering Approach

Approximate Event-Triggering Approaches

Event-Triggered Sampling

Introduction

Linear Gaussian Systems and Event-Based State Estimation

Summary and Open Problems

A Data-driven Power Schedule for Privacy Protection in Remote State Estimation

A Secure Cross-Layer Design for Remote Estimation Under DoS Attack: When Multi-Sensor Meets Multi-Channel

A Study of Packet-Reordering Integrity Attack on Remote State Estimation

Deception-based Sensor Scheduling for Remote Estimation under DoS Attacks

Event-Based Attack Against Remote State Estimation

Fake-Acknowledgment Attack on ACK-Based Sensor Power Schedule for Remote State Estimation

State Estimation of Finite-State Hidden Markov Models Subject to Stochastically Event-triggered Measurements

Stochastic Packet Scheduling for Optimal Parameter Estimation

Supply and Demand in Smart Grid: A Closed-loop Pricing Strategy

Worst-Case Analysis of Innovation-Based Linear Attack on Remote State Estimation with Resource Constraint

An improved stability condition for Kalman filtering with bounded Markovian packet losses

Data-driven power control for state estimation: A Bayesian inference approach

Deterministic Sensor Selection for Centralized State Estimation Under Limited Communication Resource

Jamming attacks on remote state estimation in cyber-physical systems: A game-theoretic approach

Multi-Sensor-Based Aperiodic Least-Squares Estimation for Networked Systems With Transmission Constraints

On Set-Valued Kalman Filtering and Its Application to Event-Based State Estimation

Optimal denial-of-service attack scheduling with energy constraint

Optimal Parameter Estimation under Controlled Communication over Sensor Networks

Stochastic event-triggered sensor schedule for remote state estimation

Jamming Attack in Centralized State Estimation

Optimal DoS Attacks on Bayesian Quickest Change Detection

Stability Analysis for Kalman Filtering in a Muti-hop Network

A Stochastic Online Sensor Scheduler for Remote State Estimation With Time-Out Condition

An event-triggered approach to state estimation with multiple point- and set-valued measurements

An Online Sensor Power Schedule for Remote State Estimation With Communication Energy Constraint

Analysis and design of secure cyber-physical systems

Dynamic sensor transmission power scheduling for remote state estimation

Event-triggered maximum likelihood state estimation

Stochastic sensor activation for distributed state estimation over a sensor network

Time Synchronization for Random Mobile Sensor Networks

Time Synchronization in WSNs: A Maximum-Value-Based Consensus Approach

Bayesian quickest change detection under energy constraints over wireless sensor networks with correlated fading channels

Decentralized Detection with Censoring Sensors over a Packet-dropping Network

Distributed time synchronization under bounded noise in wireless sensor networks

Event-based state estimation of linear dynamical systems: Communication rate analysis

Multi-sensor transmission power scheduling for remote state estimation under SINR model

Network design for distributed consensus estimation over heterogeneous sensor networks

Online Deception Attack Against Remote State Estimation

Optimal Denial-of-Service Attack Scheduling Against Linear Quadratic Gaussian Control

Sensor Scheduling for Communication Resource Minimization in in Centralized State Estimation

Transmission Power Scheduling for Energy Harvesting Sensor in Remote State Estimation

Decentralised Minimum-time Consensus

Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality

Finite Horizon LQR Control With Limited Controller-System Communication

Guaranteed cost control of affine nonlinear systems via partition of unity method

How Can Online Schedules Improve Communication and Estimation Tradeoff?

Optimal linear state estimation over a packet-dropping network using linear temporal coding

Optimal Periodic Sensor Schedule for Steady-State Estimation Under Average Transmission Energy Constraint

Optimal periodic transmission power schedules for remote estimation of ARMA processes

Optimal two-sensor scheduling under duty cycle constraint

SATS: Secure average-consensus-based time synchronization in wireless sensor networks

Schedule Communication for Decentralized State Estimation

A Study of Estimation and Communication Tradeoff using an Event-based Approach

An Event-based Scheduling Solution for Remote State Estimation of Two LTI Systems Under Bandwidth Constraint

Distributed Kalman Filter with Minimum-time Covariance Computation

Jamming Attack on Cyber-physical Systems: A Game-theoretic Approach

Multi-sensor Scheduling for State Estimation with Event-based, Stochastic Triggers

Online Sensor Transmission Power Schedule for Remote State Estimation

Optimal DoS Attack Policy Against Remote State Estimation

Stochastic event-triggered sensor scheduling for remote state estimation

Stochastic Online Sensor Scheduler for Remote State Estimation

Estimator for Systems With Measurement Packet Dropping

On Optimal Partial Broadcasting of Wireless Sensor Networks for Kalman Filtering

Optimal Sensor Power Scheduling for State Estimation of Gauss-Markov Systems Over a Packet-Dropping Network

Scheduling two gauss-markov systems: An optimal solution for remote state estimation under bandwidth constraint

An Improved Hybrid Sensor Schedule for Remote State Estimation under Limited Communication Resources

Clock synchronization for random mobile sensor networks

Communication Scheduling for Decentralized State Estimation

Consensus and Convergence Rate Analysis for Multi-agent Systems with Time Delay

Infinite-Horizon Sensor Scheduling for Estimation over Lossy Networks

Linear Quadratic Optimal Control for Discrete-time Lti Systems With Random Input Gains

Minimum Sensor Duty Cycle with Guaranteed Estimator Performance

Networked State Estimation of MIMO Systems

Sensor Data Scheduling for Linear Quadratic Gaussian Control with Full State Feedback

Sensor Scheduling in Lossy Networks

State estimation over a lossy network using linear temporal coding

State estimation over packet-dropping channels

Deterministic Sensor Data Scheduling under Limited Communication Resource

Optimal Periodic Sensor Scheduling With Limited Resources

Sensor data scheduling for optimal state estimation with communication energy constraint

Sensor scheduling over a packet-delaying network

Stochastic Filtering for Diffusion Processes With Level Crossings

State Estimation Over an Unreliable Network

An innovative packet-splitting approach for Kalman filtering over lossy networks

Decentralised minimal-time consensus

On optimal partial broadcasting of wireless sensor networks for Kalman filtering

Time and event-based sensor scheduling for networks with limited communication resources

Time synchronization in WSNs: A maximum value based consensus approach

Kalman Filtering Over a Packet-Dropping Network: A Probabilistic Perspective

Resource optimisation in a wireless sensor network with guaranteed estimator performance

State estimation over a communication network: Measurement or estimate communication?

Convergence and mean square stability of optimal estimators for systems with measurement packet dropping

Minimal-time uncertain output final value of unknown DT-LTI systems with application to the decentralised network consensus problem

Sensor data scheduling over a packet-dropping network

Sensor Scheduling with Limited Communication Energy and Bandwidth

Kalman filtering over a packet-delaying network: A probabilistic approach

Kalman Filtering Over Graphs: Theory and Applications

Decentralised final value theorem for discrete-time LTI systems with application to minimal-time distributed consensus

Modelling and development of dynamic simulator for flexible parallel manipulator

Network Lifetime Maximization via Sensor Selection

Scheduling for Finite Time Consensus

State Estimation Over a Network: Packet-dropping Analysis and Design

State estimation over unreliable network

Control over a packet dropping network with norm bounded uncertainties

Probabilistic performance of state estimation across a lossy network

Estimation over wireless sensor networks: Tradeoff between communication, computation and estimation

Kalman filtering over a packet dropping network: A probabilistic approach

Optimal sensor hop selection: Sensor energy minimization and network lifetime maximization with guaranteed system performance

Change sensor topology when needed: How to efficiently use system resources in control and estimation over wireless networks

Effective sensor scheduling schemes in a sensor network by employing feedback in the communication loop

Estimation schemes for networked control systems using UDP-like communication

Kalman filtering with uncertain process and measurement noise covariances with application to state estimation in sensor networks

An estimation algorithm for a class of networked control systems using UDP-like communication schemes

Networked Control Systems with Norm Bounded Uncertainties: A Stability Analysis

The effect of sensor health on state estimation

Towards a Packet-based Control Theory - Part II: Rate Issues

Towards Robust Control Over a Packet Dropping Network

Decentralized control across bit-limited communication channels: An example

Estimation of linear stochastic systems over a queueing network

Estimation with information loss: Asymptotic analysis and error bounds

Towards a packet-based control theory - Part I: Stabilization over a packet-based network

Virtual attractive-repulsive potentials for cooperative control of second order dynamic vehicles on the Caltech MVWT

Optimal control for a class of stochastic hybrid systems

Attack Allocation on Remote State Estimation in Multi-systems: Structural Results and Asymptotic Solution

Article

Causality Countermeasures for Anomaly Detection in Cyber-Physical Systems

Article

Detection against linear deception attacks on multi-sensor remote state estimation

Article

Infinite Horizon Optimal Transmission Power Control for Remote State Estimation Over Fading Channels

Article

Multi-Sensor Kalman Filtering With Intermittent Measurements

Article

Optimal Attack Energy Allocation against Remote State Estimation

Article

Optimal Denial-of-Service Attack Scheduling With Energy Constraint Over Packet-Dropping Networks

Article

Optimal scheduling of multiple sensors over shared channels with packet transmission constraint

Article

Performance Assessment of Discrete-Time Extended State Observers: Theoretical and Experimental Results

Article

Practical Closed-loop Dynamic Pricing in Smart Grid for Supply and Demand Balancing

Article

Quickest Change Detection in Adaptive Censoring Sensor Networks

Article

Sequential Fusion Estimation for Clustered Sensor Networks

Article

State estimation over delayed mutihop network

Article

Toward Event-Triggered Extended State Observer

Article

Worst-case Stealthy Innovation-based Linear Attack on Remote State Estimation

Article

A Novel Warehouse Multi-Robot Automation System with Semi-Complete and Computationally Efficient Path Planning and Adaptive Genetic Task Allocation Algorithms

Conference paper

Game-Theoretic Pricing and Selection with Fading Channels

Conference paper

Stochastic Optimal Control of Dynamic Queue Systems: A Probabilistic Perspective

Conference paper

A Game-Theoretic Approach to Fake-Acknowledgment Attack on Cyber-Physical Systems

Article

A Multi-channel Transmission Schedule For Remote State Estimation Under DoS Attacks

Article

Accurate Clock Synchronization in Wireless Sensor Networks with Bounded Noise

Article

Consequence Analysis of Innovation-based Integrity Attacks with Side Information on Remote State Estimation

Article

Event-Based State Estimation of Hidden Markov Models Through a Gilbert-Elliott Channel

Article

Event-Triggered State Estimation: Experimental Performance Assessment and Comparative Study

Article

Improved Results on Transmission Power Control for Remote State Estimation

Article

Multi-sensor Transmission Management for Remote State Estimation under Coordination

Article

Optimal Linear Cyber-Attack on Remote State Estimation

Article

Optimal Sensor Scheduling for Multiple Linear Dynamical Systems

Article

Power Control of an Energy Harvesting Sensor for Remote State Estimation

Article

Quickest Change Detection With Observation Scheduling

Article

SINR-Based DoS Attack on Remote State Estimation: A Game-theoretic Approach

Article

Stochastic Game in Remote Estimation Under DoS Attacks

Article

Stochastic Link Activation for Distributed Filtering Under Sensor Power Constraint

Article

The Performance and Limitations of ϵ-stealthy Attacks on Higher Order Systems

Article

A Game-theoretic Approach to Remote State Estimation in Presence of a DoS Attacker

Conference paper

Consequence Analysis of Innovation-based Integrity Attacks with Side Information on Remote State Estimation

Conference paper

Multi-sensor Transmission Management for Remote State Estimation under Coordination

Conference paper

On the Nonexistence of Event-based Triggers that preserve Gaussian State in Presence of Package-Drop

Conference paper

Optimal Denial-of-Service Attack on Feedback Channel against Acknowledgment-based Sensor Power Schedule for Remote Estimation

Conference paper

Optimal DoS Attack Strategy Against Remote State Estimation Over Lossy Networks

Conference paper

Optimal Innovation-based Deception Attack on Remote State Estimation

Conference paper

Optimal Scheduling of Multiple Sensors with Packet Length Constraint

Conference paper

Optimal Stealthy Attack under KL Divergence and Countermeasure with Randomized Threshold

Conference paper

Sensor Selection and Routing Design for State Estimation over Wireless Sensor Networks

Conference paper

Stochastic Game in Remote Estimation under DoS Attacks

Conference paper

An Opportunistic Sensor Scheduling Solution to Remote State Estimation over Multiple Channels

Article

Consensus Under Bounded Noise in Discrete Network Systems: An Algorithm With Fast Convergence and High Accuracy

Article

Finite-Horizon Gaussianity-Preserving Rvent-Based Sensor Scheduling in Kalman Filter Applications

Article

Multi-Sensor Scheduling for State Estimation with Event-Based, Stochastic Triggers

Article

Optimal DoS Attack Scheduling in Wireless Networked Control System

Article

Event-Based State Estimation: A Stochastic Perspective

Book

A Constrained Optimization Approach

Book chapter

A Set-Valued Filtering Approach

Book chapter

A Stochastic Event-Triggering Approach

Book chapter

Approximate Event-Triggering Approaches

Book chapter

Event-Triggered Sampling

Book chapter

Introduction

Book chapter

Linear Gaussian Systems and Event-Based State Estimation

Book chapter

Summary and Open Problems

Book chapter

A Data-driven Power Schedule for Privacy Protection in Remote State Estimation

Conference paper

A Secure Cross-Layer Design for Remote Estimation Under DoS Attack: When Multi-Sensor Meets Multi-Channel

Conference paper

A Study of Packet-Reordering Integrity Attack on Remote State Estimation

Conference paper

Deception-based Sensor Scheduling for Remote Estimation under DoS Attacks

Conference paper

Event-Based Attack Against Remote State Estimation

Conference paper

Fake-Acknowledgment Attack on ACK-Based Sensor Power Schedule for Remote State Estimation

Conference paper

State Estimation of Finite-State Hidden Markov Models Subject to Stochastically Event-triggered Measurements

Conference paper

Stochastic Packet Scheduling for Optimal Parameter Estimation

Conference paper

Supply and Demand in Smart Grid: A Closed-loop Pricing Strategy

Conference paper

Worst-Case Analysis of Innovation-Based Linear Attack on Remote State Estimation with Resource Constraint

Conference paper

An improved stability condition for Kalman filtering with bounded Markovian packet losses

Article

Data-driven power control for state estimation: A Bayesian inference approach

Article

Deterministic Sensor Selection for Centralized State Estimation Under Limited Communication Resource

Article

Jamming attacks on remote state estimation in cyber-physical systems: A game-theoretic approach

Article

Multi-Sensor-Based Aperiodic Least-Squares Estimation for Networked Systems With Transmission Constraints

Article

On Set-Valued Kalman Filtering and Its Application to Event-Based State Estimation

Article

Optimal denial-of-service attack scheduling with energy constraint

Article

Optimal Parameter Estimation under Controlled Communication over Sensor Networks

Article

Stochastic event-triggered sensor schedule for remote state estimation

Article

Jamming Attack in Centralized State Estimation

Conference paper

Optimal DoS Attacks on Bayesian Quickest Change Detection

Conference paper

Stability Analysis for Kalman Filtering in a Muti-hop Network

Conference paper

A Stochastic Online Sensor Scheduler for Remote State Estimation With Time-Out Condition

Article

An event-triggered approach to state estimation with multiple point- and set-valued measurements

Article

An Online Sensor Power Schedule for Remote State Estimation With Communication Energy Constraint

Article

Analysis and design of secure cyber-physical systems

Article

Dynamic sensor transmission power scheduling for remote state estimation

Article

Event-triggered maximum likelihood state estimation

Article

Stochastic sensor activation for distributed state estimation over a sensor network

Article

Time Synchronization for Random Mobile Sensor Networks

Article

Time Synchronization in WSNs: A Maximum-Value-Based Consensus Approach

Article

Bayesian quickest change detection under energy constraints over wireless sensor networks with correlated fading channels

Conference paper

Decentralized Detection with Censoring Sensors over a Packet-dropping Network

Conference paper

Distributed time synchronization under bounded noise in wireless sensor networks

Conference paper

Event-based state estimation of linear dynamical systems: Communication rate analysis

Conference paper

Multi-sensor transmission power scheduling for remote state estimation under SINR model

Conference paper

Network design for distributed consensus estimation over heterogeneous sensor networks

Conference paper

Online Deception Attack Against Remote State Estimation

Conference paper

Optimal Denial-of-Service Attack Scheduling Against Linear Quadratic Gaussian Control

Conference paper

Sensor Scheduling for Communication Resource Minimization in in Centralized State Estimation

Conference paper

Transmission Power Scheduling for Energy Harvesting Sensor in Remote State Estimation

Conference paper

Decentralised Minimum-time Consensus

Article

Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality

Article

Finite Horizon LQR Control With Limited Controller-System Communication

Article

Guaranteed cost control of affine nonlinear systems via partition of unity method

Article

How Can Online Schedules Improve Communication and Estimation Tradeoff?

Article

Optimal linear state estimation over a packet-dropping network using linear temporal coding

Article

Optimal Periodic Sensor Schedule for Steady-State Estimation Under Average Transmission Energy Constraint

Article

Optimal periodic transmission power schedules for remote estimation of ARMA processes

Article

Optimal two-sensor scheduling under duty cycle constraint

Article

SATS: Secure average-consensus-based time synchronization in wireless sensor networks

Article

Schedule Communication for Decentralized State Estimation

Article

A Study of Estimation and Communication Tradeoff using an Event-based Approach

Conference paper

An Event-based Scheduling Solution for Remote State Estimation of Two LTI Systems Under Bandwidth Constraint

Conference paper

Distributed Kalman Filter with Minimum-time Covariance Computation

Conference paper

Jamming Attack on Cyber-physical Systems: A Game-theoretic Approach

Conference paper

Multi-sensor Scheduling for State Estimation with Event-based, Stochastic Triggers

Conference paper

Online Sensor Transmission Power Schedule for Remote State Estimation

Conference paper

Optimal DoS Attack Policy Against Remote State Estimation

Conference paper

Stochastic event-triggered sensor scheduling for remote state estimation

Conference paper

Stochastic Online Sensor Scheduler for Remote State Estimation

Conference paper

Estimator for Systems With Measurement Packet Dropping

Article

On Optimal Partial Broadcasting of Wireless Sensor Networks for Kalman Filtering

Article

Optimal Sensor Power Scheduling for State Estimation of Gauss-Markov Systems Over a Packet-Dropping Network

Article

Scheduling two gauss-markov systems: An optimal solution for remote state estimation under bandwidth constraint

Article

An Improved Hybrid Sensor Schedule for Remote State Estimation under Limited Communication Resources

Conference paper

Clock synchronization for random mobile sensor networks

Conference paper

Communication Scheduling for Decentralized State Estimation

Conference paper

Consensus and Convergence Rate Analysis for Multi-agent Systems with Time Delay

Conference paper

Infinite-Horizon Sensor Scheduling for Estimation over Lossy Networks

Conference paper

Linear Quadratic Optimal Control for Discrete-time Lti Systems With Random Input Gains

Conference paper

Minimum Sensor Duty Cycle with Guaranteed Estimator Performance

Conference paper

Networked State Estimation of MIMO Systems

Conference paper

Sensor Data Scheduling for Linear Quadratic Gaussian Control with Full State Feedback

Conference paper

Sensor Scheduling in Lossy Networks

Conference paper

State estimation over a lossy network using linear temporal coding

Conference paper

State estimation over packet-dropping channels

Conference paper

Deterministic Sensor Data Scheduling under Limited Communication Resource

Article

Optimal Periodic Sensor Scheduling With Limited Resources

Article

Sensor data scheduling for optimal state estimation with communication energy constraint

Article

Sensor scheduling over a packet-delaying network

Article

Stochastic Filtering for Diffusion Processes With Level Crossings

Article

State Estimation Over an Unreliable Network

Book chapter

An innovative packet-splitting approach for Kalman filtering over lossy networks

Conference paper

Decentralised minimal-time consensus

Conference paper

On optimal partial broadcasting of wireless sensor networks for Kalman filtering

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Time and event-based sensor scheduling for networks with limited communication resources

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Time synchronization in WSNs: A maximum value based consensus approach

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Kalman Filtering Over a Packet-Dropping Network: A Probabilistic Perspective

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Resource optimisation in a wireless sensor network with guaranteed estimator performance

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State estimation over a communication network: Measurement or estimate communication?

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Convergence and mean square stability of optimal estimators for systems with measurement packet dropping

Conference paper

Minimal-time uncertain output final value of unknown DT-LTI systems with application to the decentralised network consensus problem

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Sensor data scheduling over a packet-dropping network

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Sensor Scheduling with Limited Communication Energy and Bandwidth

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Kalman filtering over a packet-delaying network: A probabilistic approach

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Kalman Filtering Over Graphs: Theory and Applications

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Decentralised final value theorem for discrete-time LTI systems with application to minimal-time distributed consensus

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Modelling and development of dynamic simulator for flexible parallel manipulator

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Network Lifetime Maximization via Sensor Selection

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Scheduling for Finite Time Consensus

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State Estimation Over a Network: Packet-dropping Analysis and Design

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State estimation over unreliable network

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Control over a packet dropping network with norm bounded uncertainties

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Probabilistic performance of state estimation across a lossy network

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Estimation over wireless sensor networks: Tradeoff between communication, computation and estimation

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Kalman filtering over a packet dropping network: A probabilistic approach

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Optimal sensor hop selection: Sensor energy minimization and network lifetime maximization with guaranteed system performance

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Change sensor topology when needed: How to efficiently use system resources in control and estimation over wireless networks

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Effective sensor scheduling schemes in a sensor network by employing feedback in the communication loop

Conference paper

Estimation schemes for networked control systems using UDP-like communication

Conference paper

Kalman filtering with uncertain process and measurement noise covariances with application to state estimation in sensor networks

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An estimation algorithm for a class of networked control systems using UDP-like communication schemes

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Networked Control Systems with Norm Bounded Uncertainties: A Stability Analysis

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The effect of sensor health on state estimation

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Towards a Packet-based Control Theory - Part II: Rate Issues

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Towards Robust Control Over a Packet Dropping Network

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Decentralized control across bit-limited communication channels: An example

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Estimation of linear stochastic systems over a queueing network

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Estimation with information loss: Asymptotic analysis and error bounds

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Towards a packet-based control theory - Part I: Stabilization over a packet-based network

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Virtual attractive-repulsive potentials for cooperative control of second order dynamic vehicles on the Caltech MVWT

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Optimal control for a class of stochastic hybrid systems

Conference paper