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