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