All Stories

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