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