All Stories

  1. Bandwidth-Constrained Sensor Scheduling: A Trade-off between Fairness and Efficiency
  2. UAV-assisted Sensing Intelligence for Remote State Estimation: A Joint Scheduling and Matching Approach
  3. Decentralized Model Predictive Control for Platooning: Enhancing Human–Driver Collaboration
  4. Channel Pricing and Selection for Remote State Estimation over Markov Fading Channel: A Stackelberg Game Framework
  5. Predictive Control of Autonomous Active Sensing for Field Estimation Using Thompson Sampling
  6. Data Security and Privacy for AI-Enabled Smart Manufacturing
  7. Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
  8. Open and Closed-Loop Predictive Control Strategies for Software Rejuvenation
  9. Structure-Aware Reinforcement Learning for Optimal Transmission Scheduling Over Packet Length-Dependent Lossy Networks
  10. Safety Filters Against Actuator Attacks
  11. Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey
  12. Remote State Estimation With Discounted Multi-Armed Bandits for Non-Stationary Channel Selection
  13. Remote state estimation with privacy against active eavesdroppers
  14. Aggregation-Based Remote State Estimation Secrecy With Pseudo-Random Numbers for Networked Systems
  15. Incomplete-Information Dynamic Stackelberg Equilibrium Seeking by A Distributed Distributionally Robust Feedback Approach
  16. Wireless Human-Machine Collaboration in Industry 5.0
  17. Innovation-Based Remote State Estimation Secrecy With No Acknowledgments
  18. Thompson sampling for networked control over unknown channels
  19. Extending Direct Data-Driven Predictive Control Towards Systems with Finite Control Sets
  20. The Vulnerability Analysis of Remote Estimation With Batch-Data Detectors Against Integrity Attacks
  21. Time-Stamp Attacks on Remote State Estimation in Cyber-Physical Systems
  22. Deep Learning for Wireless-Networked Systems: A Joint Estimation-Control–Scheduling Approach
  23. Structure-Enhanced DRL for Optimal Transmission Scheduling
  24. Semantic-Aware Transmission Scheduling: A Monotonicity-Driven Deep Reinforcement Learning Approach
  25. Optimal transmission strategy for multiple Markovian fading channels: Existence, structure, and approximation
  26. Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation of Gauss–Markov Processes
  27. Centralized Model Predictive Control With Human-Driver Interaction for Platooning
  28. Ensemble Nonlinear Model Predictive Control for Residential Solar Battery Energy Management
  29. Transmission Power Policies for Energy-Efficient Wireless Control of Nonlinear Systems
  30. Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling
  31. Learning Optimal Stochastic Sensor Scheduling for Remote Estimation With Channel Capacity Constraint
  32. Special issue on control technology for networked and distributed robotics (Part II)
  33. A jointly optimal design of control and scheduling in networked systems under denial-of-service attacks
  34. Special issue on control technology for networked and distributed robotics
  35. Event-Triggered Transmission Policies for Nonlinear Control Systems Over Erasure Channels
  36. Local Averaging for Consensus Over Communication Links With Random Dropouts
  37. Stealthy Hacking and Secrecy of Controlled State Estimation Systems With Random Dropouts
  38. Remote State Estimation with Privacy Against Eavesdroppers
  39. Tree-based Model Predictive Control Strategy for Software Rejuvenation
  40. Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation
  41. H2 Controller Design for Multi-Agent Systems with Markovian Switching Topologies
  42. Multi-step attack detection in industrial control systems using causal analysis
  43. Anytime Control Under Practical Communication Models
  44. Fast Hands-Off Control Using ADMM Real-Time Iterations
  45. Coding for Secrecy in Remote State Estimation With an Adversary
  46. Optimization Over Time-Varying Networks and Unbounded Information Delays
  47. Remote State Estimation With Smart Sensors Over Markov Fading Channels
  48. Adaptive Resilient Control of Cyber-Physical Systems Under Actuator and Sensor Attacks
  49. On extended state estimation for nonlinear uncertain systems with round-robin protocol
  50. Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels
  51. Stability Conditions for Remote State Estimation of Multiple Systems Over Semi-Markov Fading Channels
  52. Deception Attacks on Remote Estimation with Disclosure and Disruption Resources
  53. On Periodic Scheduling and Control for Networked Systems Under Random Data Loss
  54. Asynchronous Stochastic Approximations With Asymptotically Biased Errors and Deep Multiagent Learning
  55. Privacy-Preserving Correlated Data Publication: Privacy Analysis and Optimal Noise Design
  56. Encrypted Control for Networked Systems: An Illustrative Introduction and Current Challenges
  57. Guest Editorial Model Predictive Control in Energy Conversion Systems
  58. Encryption scheduling for remote state estimation under an operation constraint
  59. Robust MPC for networks with varying communication capabilities
  60. Remote State Estimation in the Presence of an Active Eavesdropper
  61. Remote State Estimation in the Presence of an Eavesdropper
  62. Maximum hands-off feedback control for finite-time stabilization
  63. Time-based transmission power policies for energy-efficient wireless control of nonlinear systems
  64. Behavioral Economics for Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand Fallacy
  65. Stochastic predictive control under intermittent observations and unreliable actions
  66. A Game-Theoretic Approach to Covert Communications
  67. Privacy and security of cyberphysical systems
  68. Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems
  69. Defensive deception against reactive jamming attacks in remote state estimation
  70. Stabilizing Scheduling Policies for Networked Control Systems
  71. Optimal event‐triggered transmission scheduling for privacy‐preserving wireless state estimation
  72. Enabling Multistep Model Predictive Control for Transient Operation of Power Converters
  73. Pricing and Selection of Channels for Remote State Estimation Using a Stackelberg Game Framework
  74. On noise-to-state stability of stochastic discrete-time systems via finite-step Lyapunov functions
  75. Ausgewählte Beiträge des GMA-Fachausschusses 1.50
  76. Optimal Energy Allocation in Multisensor Estimation Over Wireless Channels Using Energy Harvesting and Sharing
  77. Transmission Scheduling for Remote State Estimation Over Packet Dropping Links in the Presence of an Eavesdropper
  78. Stochastic predictive control
  79. Information Bounds for State Estimation in the Presence of an Eavesdropper
  80. Finite Time Encryption Schedule in the Presence of an Eavesdropper with Operation Cost
  81. DoS Attacks on Remote State Estimation With Asymmetric Information
  82. Tradeoffs in Stochastic Event-Triggered Control
  83. Combined control and communication scheduling for constrained system using robust output feedback MPC
  84. Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model Approach
  85. Encrypted Cooperative Control Based on Structured Feedback
  86. Stability Analysis of Event-Triggered Anytime Control With Multiple Control Laws
  87. Neural network modelling of services and goods sales analysis
  88. Deep reinforcement learning for scheduling in large-scale networked control systems
  89. Optimal energy allocation in energy harvesting and sharing wireless sensor networks
  90. DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling
  91. Optimal Control of Linear Systems With Limited Control Actions: Threshold-Based Event-Triggered Control
  92. Model Predictive Control for Power Electronics Applications
  93. Q-Adaptive Control of the Nonlinear Dynamics of the Cantilever-Sample System of an Atomic Force Microscope
  94. Technical Committee on Networks and Communication Systems [Technical Activities]
  95. Limitations and Accuracy of a Continuous Reduced-Order Model for Modular Multilevel Converters
  96. On the Use of Artificial Noise for Secure State Estimation in the Presence of Eavesdroppers
  97. A fixed-point implementation of explicit MPC laws
  98. Transmission scheduling for remote state estimation and control with an energy harvesting sensor
  99. Towards Encrypted MPC for Linear Constrained Systems
  100. Event-Triggered Quantized Communication-Based Distributed Convex Optimization
  101. Sparse and constrained stochastic predictive control for networked systems
  102. Encrypted cloud-based MPC for linear systems with input constraints
  103. Optimal Control of Energy Resources for State Estimation Over Wireless Channels
  104. Game-theoretic pricing and selection with fading channels
  105. Sparsity-promoting iterative learning control for resource-constrained control systems
  106. State estimation over Markovian packet dropping links in the presence of an eavesdropper
  107. Energy-Aware Radio Chip Management for Wireless Control
  108. Output Feedback Stable Stochastic Predictive Control With Hard Control Constraints
  109. Improved results on transmission power control for remote state estimation
  110. SINR-Based DoS Attack on Remote State Estimation: A Game-Theoretic Approach
  111. Concluding Remarks
  112. Introduction
  113. Optimal Power Allocation for Kalman Filtering over Fading Channels
  114. Optimal Transmission Scheduling for Event-Triggered Estimation with Packet Drops
  115. Optimal Transmission Strategies for Remote State Estimation
  116. Remote State Estimation in Multi-hop Networks
  117. Predictive control for networked systems affected by correlated packet loss
  118. Guest Editorial
  119. Co-design of jump estimators and transmission policies for wireless multi-hop networks with fading channels
  120. Stochastic Game in Remote Estimation Under DoS Attacks
  121. Controller Design for Networked Control Systems Affected by Correlated Packet Losses
  122. Event-Based Transmission Scheduling and LQG Control Over a Packet Dropping Link
  123. On Remote State Estimation in the Presence of an Eavesdropper
  124. Performance Analysis of Event-Triggered Control Systems with A Probabilistic Triggering Mechanism: The Scalar Case
  125. On the Trade-Off Between Communication and Control Cost in Event-Triggered Dead-Beat Control
  126. A multi-channel transmission schedule for remote state estimation under DoS attacks
  127. Sensor Scheduling in Variance Based Event Triggered Estimation With Packet Drops
  128. Collaborative Processing in Distributed Control for Resource Constrained Systems
  129. A Game-Theoretic Approach to Fake-Acknowledgment Attack on Cyber-Physical Systems
  130. Resource efficient stochastic predictive control
  131. Stabilizing Stochastic Predictive Control under Bernoulli Dropouts
  132. Power Control of an Energy Harvesting Sensor for Remote State Estimation
  133. Event-triggered distributed constrained consensus
  134. A secure cross-layer design for remote estimation under DoS attack: When multi-sensor meets multi-channel
  135. On Network Topology Reconfiguration for Remote State Estimation
  136. Unified approach to controller and MMSE estimator design with intermittent communications
  137. On the reachability property for networks of linear time-invariant subsystems
  138. Controller and Scheduler Codesign for Feedback Control Over IEEE 802.15.4 Networks
  139. Robust stability of a class of Networked Control Systems
  140. Adaptive control of the nonlinear dynamic behavior of the cantilever-sample system of an atomic force microscope
  141. Fast multistep finite control set model predictive control for transient operation of power converters
  142. Call for Papers: Special issue ofinternational journal of robust and nonlinear control: “stochastic predictive control”
  143. Theoretical analysis of maximum hands-off control
  144. Optimal transmission policies for variance based event triggered estimation with an energy harvesting sensor
  145. Technical Committee on Networks and Communication Systems [Technical Activities]
  146. Sparse control for discrete-time systems
  147. Stable stochastic predictive controller under unreliable up-link
  148. Kalman Filtering With Relays Over Wireless Fading Channels
  149. Threshold optimization of event-triggered multi-loop control systems
  150. Multiple descriptions for packetized predictive control
  151. Secure State Estimation
  152. A Game-Theoretic Approach to Jamming Attacks on Remote State Estimation in Cyber-Physical Systems
  153. A novel optimal control method based on sparsity
  154. Dropout feedback parametrized policies for stochastic predictive controller
  155. Predictive control, embedded cyberphysical systems and systems of systems – A perspective
  156. Shaped Gaussian Dictionaries for Quantized Networked Control Systems With Correlated Dropouts
  157. Fake-acknowledgment attack on ACK-based sensor power schedule for remote state estimation
  158. Co-design for control and scheduling over wireless industrial control networks
  159. Event-triggered anytime control with two controllers
  160. Uniform Global Asymptotic Stability of Networked Control Systems affected with packet dropouts and scheduling issues
  161. Multiple-Loop Self-Triggered Model Predictive Control for Network Scheduling and Control
  162. - Algorithms for Control with Limited Processing and Communication Resources
  163. Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach
  164. Validation of a reduced order model for modular multilevel converters and analysis of circulating current
  165. Switched Model Predictive Control for Improved Transient and Steady-State Performance
  166. On the optimality of threshold policies in event triggered estimation with packet drops
  167. To wait or to drop: On the optimal number of retransmissions in wireless control
  168. Distortion Minimization in Multi-Sensor Estimation Using Energy Harvesting and Energy Sharing
  169. Multi-sensor estimation using energy harvesting and energy sharing
  170. Data-driven power control for state estimation: A Bayesian inference approach
  171. Predictive Optimal Switching Sequence Direct Power Control for Grid-Connected Power Converters
  172. Predictive direct power control for grid connected power converters with dc-link voltage dynamic reference design
  173. Performance of Multistep Finite Control Set Model Predictive Control for Power Electronics
  174. Anytime Control Using Input Sequences With Markovian Processor Availability
  175. Predictive Control of Power Converters: Designs With Guaranteed Performance
  176. A Stochastic Model Predictive Controller for Systems with Unreliable Communications
  177. Predictive Control in the Era of Networked Control and Communication - a Perspective
  178. Recent Developments in Networked Control and Estimation
  179. Stochastic MPC with applications to process control
  180. A jump filter for uncertain dynamic systems with dropouts
  181. Stochastic Stability of Event-Triggered Anytime Control
  182. Multi-sensor transmission power scheduling for remote state estimation under SINR model
  183. Multistep Finite Control Set Model Predictive Control for Power Electronics
  184. Reference design for predictive control of modular multilevel converters
  185. An Optimal Transmission Strategy for Kalman Filtering Over Packet Dropping Links With Imperfect Acknowledgements
  186. A sparsity method for networked control
  187. Stability of Sequence-Based Control With Random Delays and Dropouts
  188. Packetized MPC with dynamic scheduling constraints and bounded packet dropouts
  189. Power Control and Coding Formulation for State Estimation With Wireless Sensors
  190. Performance vs complexity trade-offs for Markovian networked jump estimators
  191. Predictive Control in Power Electronics and Drives: Basic Concepts, Theory, and Methods
  192. Controllability of Discrete-time Networked Control Systems with Try Once Discard Protocol
  193. Network Topology Reconfiguration for State Estimation Over Sensor Networks With Correlated Packet Drops
  194. Transmission Power Scheduling for Energy Harvesting Sensor in Remote State Estimation
  195. Maximum hands-off control and L1 optimality
  196. Optimal Periodic Transmission Power Schedules for Remote Estimation of ARMA Processes
  197. Robustness of networked control systems with multiple actuator-links and bounded packet dropouts
  198. Stability Analysis of Quadratic MPC With a Discrete Input Alphabet
  199. Online sensor transmission power schedule for remote state estimation
  200. Cooperative Dynamic MPC for Networked Control Systems
  201. Adaptive controller placement for wireless sensor–actuator networks with erasure channels
  202. Dual-stage model predictive control for Flying Capacitor Converters
  203. An H ∞ suboptimal robust control approach for systems with uncertainties and data dropouts
  204. Multistep direct model predictive control for power electronics — Part 1: Algorithm
  205. Multistep direct model predictive control for power electronics — Part 2: Analysis
  206. Correction to “Packetized Predictive Control of Stochastic Systems Over Bit-Rate Limited Channels With Packet Loss”
  207. Generalized Predictive Direct Power Control for AC/DC converters
  208. On the use of a relay for Kalman filtering over packet dropping links
  209. Finite-Control-Set Model Predictive Control With Improved Steady-State Performance
  210. Jamming attack on Cyber-Physical Systems: A game-theoretic approach
  211. Multiple Description Coding for Closed Loop Systems over Erasure Channels
  212. State Estimation Over Sensor Networks With Correlated Wireless Fading Channels
  213. On the stability and robustness of model predictive direct current control
  214. Sequence-Based Anytime Control
  215. Packetized predictive control for rate-limited networks via sparse representation
  216. Improved stability conditions for unconstrained nonlinear model predictive control by using additional weighting terms
  217. Smart energy-aware sensors for event-based control
  218. A switched Model Predictive Control formulation for Flying Capacitor Converters
  219. Dynamic Controller Allocation for Control over Erasure Channels*
  220. Robust stability of packetized predictive control of nonlinear systems with disturbances and Markovian packet losses
  221. Model Predictive Control of an AFE Rectifier With Dynamic References
  222. On Kalman filtering over fading wireless channels with controlled transmission powers
  223. Control over erasure channels: stochastic stability and performance of packetized unconstrained model predictive control
  224. A unifying framework for stability in MPC using a generalized integral terminal cost
  225. Compressive sampling for networked feedback control
  226. Self-Triggered Model Predictive Control for Network Scheduling and Control1
  227. Multiple descriptions for packetized predictive control over erasure channels
  228. Packetized Predictive Control of Stochastic Systems Over Bit-Rate Limited Channels With Packet Loss
  229. Sparse command generator for remote control
  230. Stochastic stability and performance estimates of packetized unconstrained model predictive control for networked control systems
  231. How Good is Quantized Model Predictive Control With Horizon One?
  232. On stability and performance of finite control set MPC for power converters
  233. Real-Time Perceptual Moving-Horizon Multiple-Description Audio Coding
  234. Design of Embedded Filters for Inner-Loop Power Control in Wireless CDMA Communication Systems
  235. Stability analysis of networked control systems subject to packet-dropouts and finite-level quantization
  236. Input-to-State Stability of Packetized Predictive Control Over Unreliable Networks Affected by Packet-Dropouts
  237. On Kalman Filtering with Fading Wireless Channels Governed by Power Control
  238. On the stability of MPC with a Finite Input Alphabet
  239. Sparse Representations for Packetized Predictive Networked Control
  240. Stability of State Estimation over Sensor Networks with Markovian Fading Channels*
  241. An introduction to the control of switching electronic systems
  242. On anytime control of nonlinear processes through calculation of control sequences
  243. Energy Efficient State Estimation With Wireless Sensors Through the Use of Predictive Power Control and Coding
  244. On Stochastic Stability of Packetized Predictive Control of Non-linear Systems over Erasure Channels*
  245. Predictive control of an Asymmetric Multicell Converter with floating cells
  246. Finite control set MPC of an AFE rectifier with dynamic references
  247. Control system design subject to SNR constraints
  248. Analysis and design of networked control systems using the additive noise model methodology
  249. On a Control Lyapunov Function based Anytime Algorithm for Control of Nonlinear Processes
  250. On stability of Finite Control Set MPC strategy for Multicell Converters
  251. Opportunities and challenges in the application of advanced control to power electronics and drives
  252. Stability Analysis of Networked Control Systems Subjected to Packet-dropouts and Finite Level Quantization
  253. Quantized predictive control over erasure channels
  254. Subband coding for networked control systems
  255. Steady-state issues with finite control set model predictive control
  256. Predictive control formulation for achieving a reduced finite control set in flying capacitor converters
  257. Innovations-based state estimation with wireless sensor networks
  258. On the design of control systems over unreliable channels
  259. Model Predictive Control of an Asymmetric Flying Capacitor Converter
  260. Speed control of a permanent magnet synchronous motor using predictive current control
  261. Low delay moving-horizon multiple-description audio coding forwireless hearing aids
  262. Predictive power control and multiple-description coding for wireless sensor networks
  263. Capacitor voltage estimation for predictive control algorithm of flying capacitor converters
  264. Predictive speed control of a synchronous permanent magnet motor
  265. Quantization of Filter Bank Frame Expansions Through Moving Horizon Optimization
  266. A Vector Quantization Approach to Scenario Generation for Stochastic NMPC
  267. Predictive Power Control of Wireless Sensor Networks for Closed Loop Control
  268. Predictive Control in Power Electronics and Drives
  269. Predictive control algorithm robustness for achieving fault tolerance in multicell converters
  270. On Optimal Perfect Reconstruction Feedback Quantizers
  271. A brief introduction to the analysis and design of Networked Control Systems
  272. Control over unreliable networks affected by packet erasures and variable transmission delays
  273. Conditions for optimality of scalar feedback quantization
  274. Predictive Current Control Strategy With Imposed Load Current Spectrum
  275. A complex-baseband active-set approach for tone reservation PAR reduction in OFDM systems
  276. A predictive power control scheme for energy efficient state estimation via wireless sensor networks
  277. Architectures and coder design for networked control systems
  278. EM-Based Receiver Design for Uplink MIMO-OFDMA Systems
  279. Simple coding for achieving mean square stability over bit-rate limited channels
  280. Design of Multiple Actuator-Link Control Systems with Packet Dropouts
  281. On Networked Control Architectures for MIMO Plants
  282. Optimal Controller Design for Networked Control Systems
  283. Multistep Detector for Linear ISI-Channels Incorporating Degrees of Belief in Past Estimates
  284. OFDMA Uplink PAR Reduction via Tone Reservation
  285. Optimal multibit Digital to Analog Conversion
  286. Packetized Predictive Control over Erasure Channels
  287. Predictive Control of a Flying Capacitor Converter
  288. Optimal noise shaping for Networked Control Systems
  289. Conditions for optimality of Naïve quantized finite horizon control
  290. Design of modulated and demodulated controllers for flexible structures
  291. Optimal coding for bit-rate limited networked control systems in the presence of data loss
  292. PERFORMANCE LIMITS IN MULTI-CHANNEL NETWORKED CONTROL SYSTEM ARCHITECTURES
  293. SPC02-2: Joint Data Detection and Channel Estimation for MIMO-OFDM Systems via EM Algorithm and Sphere Decoding
  294. Networked PID Control
  295. Networked PID control
  296. Optimal AD-Conversion via Sampled-Data Receding Horizon Control Theory
  297. Predictive Current Control Strategy with Imposed Load Current Spectrum
  298. Efficient Data Representations for Signal Processing and Control: "Making Most of a Little"
  299. Predictive Current Control Strategy with Imposed Load Current Spectrum
  300. Probability of Interpolation for a Mute Sample Interpolative A/D Converter with Horizon-Length Two
  301. Moving horizon design of discrete coefficient FIR filters
  302. Multistep optimal analog-to-digital conversion
  303. AN IMPROVED ARCHITECTURE FOR NETWORKED CONTROL SYSTEMS
  304. Quantization issues in signal processing & control system design
  305. A Moving Horizon Approach to Networked Control System Design
  306. Multi-Modal Modulated and Demodulated Vibration Control of Flexible Structures Using Piezoelectric Transducers
  307. Finite constraint set receding horizon quadratic control
  308. Multi-step optimal quantization in oversampled filter banks
  309. Control of EMI from switch-mode power supplies via multi-step optimization
  310. RECEDING HORIZON LINEAR QUADRATIC CONTROL WITH FINITE INPUT CONSTRAINT SETS
  311. Moving horizon Monte Carlo state estimation for linear systems with output quantization
  312. Robustification of model predictive control
  313. Quantization and Sampling of Not Necessarily Band-Limited Signals
  314. Design issues arising in a networked control system architecture
  315. An application of receding horizon control to estimation with quantized coefficients
  316. Audio quantization from a receding horizon control perspective
  317. Minimizing down-link traffic in networked control systems via optimal control techniques
  318. On the dynamics of receding horizon linear quadratic finite alphabet control loops