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2021 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 51

2021 IEEE Transactions on Systems, Man & Cybernetics. Systems  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., TSMC April 2021 2444-2456 Event-Triggered Prescribed Performance Control for a Class of Unknown Nonlinear Systems.  ...  ., TSMC April 2021 2444-2456 Event-Triggered Prescribed Performance Control for a Class of Unknown Nonlinear Systems.  ... 
doi:10.1109/tsmc.2021.3136054 fatcat:b5hcsfwjw5hllpenqmaq6wpke4

2020 Index IEEE Transactions on Cybernetics Vol. 50

2020 IEEE Transactions on Cybernetics  
., Reference Trajectory Reshaping Optimi-zation and Control of Robotic Exoskeletons for Human-Robot Co-Manipulation; TCYB Aug. 2020 3740-3751 Wu, X., Jiang, B., Yu, K., Miao, c., and Chen, H  ...  Event-Triggered Adaptive Control of Saturated Nonlinear Systems With Time-Varying Partial State Constraints.  ...  ., +, TCYB March 2020 890-901 Event-Triggered Reinforcement Learning-Based Adaptive Tracking Control for Completely Unknown Continuous-Time Nonlinear Systems.  ... 
doi:10.1109/tcyb.2020.3047216 fatcat:5giw32c2u5h23fu4drupnh644a

2019 Index IEEE Transactions on Fuzzy Systems Vol. 27

2019 IEEE transactions on fuzzy systems  
Tolerant Tracking Control for Partially Unknown Systems With Actuator Faults via Integral Reinforcement Learning Method.  ...  Adaptive Fuzzy Fault-Tolerant Tracking Control for Partially Unknown Systems With Actuator Faults via Integral Reinforcement Learning Method.  ...  Nonlinear filters Adaptive Neuro-Fuzzy Control for Discrete-Time Nonaffine Nonlinear Systems. Gil  ... 
doi:10.1109/tfuzz.2020.2966828 fatcat:pgfo5oksjrdbpa5s534ky74bie

2019 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 49

2019 IEEE Transactions on Systems, Man & Cybernetics. Systems  
Event-Triggered Optimal Neuro-Controller Design With Reinforcement Learning for Unknown Nonlinear Systems.  ...  ., +, TSMC July 2019 1435-1447 Event-Triggered Optimal Neuro-Controller Design With Reinforcement Learning for Unknown Nonlinear Systems.  ...  Open loop systems  ... 
doi:10.1109/tsmc.2019.2956665 fatcat:xhplbanlyne7nl7gp2pbrd62oi

2020 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 31

2020 IEEE Transactions on Neural Networks and Learning Systems  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  2020 3497-3511 Event-Triggered Adaptive Neural Network Control for Nonstrict-Feedback Nonlinear Time-Delay Systems With Unknown Control Directions.Ma, J., Triggered Approach to Recursive Filtering for  ...  ., +, TNNLS June 2020 1968-1981 Event-Triggered Adaptive Neural Network Control for Nonstrict-Feedback Nonlinear Time-Delay Systems With Unknown Control Directions.  ... 
doi:10.1109/tnnls.2020.3045307 fatcat:34qoykdtarewhdscxqj5jvovqy

2020 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 50

2020 IEEE Transactions on Systems, Man & Cybernetics. Systems  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TSMC Sept. 2020 3158-3168 Event-Triggered Adaptive Dynamic Programming for Zero-Sum Game of Partially Unknown Continuous-Time Nonlinear Systems.  ...  ., +, TSMC Sept. 2020 3158-3168 Event-Triggered Adaptive Dynamic Programming for Zero-Sum Game of Partially Unknown Continuous-Time Nonlinear Systems.  ... 
doi:10.1109/tsmc.2021.3054492 fatcat:zartzom6xvdpbbnkcw7xnsbeqy

Machine Learning in Event-Triggered Control: Recent Advances and Open Issues [article]

Leila Sedghi, Zohaib Ijaz, Md. Noor-A-Rahim, Kritchai Witheephanich, Dirk Pesch
2022 arXiv   pre-print
For example, machine learning can be used to overcome the problem of a lack of network models by learning system behavior or adapting to dynamically changing models by continuously learning model dynamics  ...  Machine learning techniques such as statistical learning, neural networks, and reinforcement learning-based approaches such as deep reinforcement learning are being investigated in combination with event-triggered  ...  An event-triggered optimal control problem with Integral Reinforcement Learning (IRL) is proposed to solve the HJB equation of CT nonlinear systems with partially unknown dynamics in [31] .  ... 
arXiv:2009.12783v2 fatcat:o55wr4pedzah7c2ddqjn6ur4km

2021 Index IEEE Transactions on Fuzzy Systems Vol. 29

2021 IEEE transactions on fuzzy systems  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Decentralized Tracking Optimization Control for Partially Unknown Fuzzy Interconnected Systems via Reinforcement Learning Method.  ...  Event-Triggered Fuzzy Adaptive Containment Control for Nonlinear Multiagent Systems With Unknown Bouc-Wen Hysteresis Input.  ... 
doi:10.1109/tfuzz.2021.3134727 fatcat:m66dl6wxdbgendhdx4bliy6nky

Table of contents

2020 IEEE Transactions on Cybernetics  
Alonso 3218 Event-Triggered Reinforcement Learning-Based Adaptive Tracking Control for Completely Unknown Continuous-Time Nonlinear Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Distributed Dynamic Event-Triggered Control for Cooperative Output Regulation of Linear Multiagent Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tcyb.2020.3000016 fatcat:oozgsw6kgbhxfk22byaebykshy

Table of Contents

2022 IEEE Transactions on Cybernetics  
Choi 2186 Dynamic Event-Triggering Neural Learning Control for Partially Unknown Nonlinear Systems . . . . . C. Mu, K. Wang, and T.  ...  Wang 2518 Active Learning for Estimating Reachable Sets for Systems With Unknown Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tcyb.2022.3162412 fatcat:2kilcb3oq5bqnfvm5q7whvm5le

2021 Index IEEE Transactions on Cybernetics Vol. 51

2021 IEEE Transactions on Cybernetics  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TCYB March 2021 1359-1369 Nonlinear dynamical systems Adaptive Event-Triggered Control for Unknown Second-Order Nonlinear Multiagent Systems.  ...  ., +, TCYB Jan. 2021 405-415 Adaptive Event-Triggered Control for Unknown Second-Order Nonlinear Multiagent Systems.  ... 
doi:10.1109/tcyb.2021.3139447 fatcat:myjx3olwvfcfpgnwvbuujwzyoi

Nonlinear Analysis of Dynamical Complex Networks 2014

Zidong Wang, Bo Shen, Hongli Dong, Jun Hu, Xiao He, Derui Ding
2014 Abstract and Applied Analysis  
Subsequently, in the paper entitled "Timeand event-driven communication process for networked control systems: a survey" by L.  ...  For networked control systems (NCSs), especially largescale systems such as multiagent systems and systems over sensor networks, the complexities are inevitably enhanced in terms of their degrees or intensities  ...  Acknowledgments This special issue is a timely reflection of the research progress in the area of nonlinear analysis of dynamical complex networks.  ... 
doi:10.1155/2014/976231 fatcat:4pf2zd4h35gazgo2vyhoawgyka

Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: from Time-Driven to Event-Driven [article]

Qingtao Zhao, Jennie Si, Jian Sun
2020 arXiv   pre-print
several complex learning control problems.  ...  It continuously updates the control policy and the critic as system states continuously evolve.  ...  In [14] - [16] , the authors considered a partially unknown affine nonlinear system.  ... 
arXiv:2006.08938v1 fatcat:tvui2k72x5apde56cktmo5g54m

2021 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 32

2021 IEEE Transactions on Neural Networks and Learning Systems  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TNNLS May 2021 1821-1830 Reduced-Order Observer-Based Dynamic Event-Triggered Adaptive NN Control for Stochastic Nonlinear Systems Subject to Unknown Input Saturation.  ...  ., +, TNNLS May 2021 1821-1830 Reduced-Order Observer-Based Dynamic Event-Triggered Adaptive NN Control for Stochastic Nonlinear Systems Subject to Unknown Input Saturation.  ... 
doi:10.1109/tnnls.2021.3134132 fatcat:2e7comcq2fhrziselptjubwjme

Optimal control and learning for cyber‐physical systems

Yan Wan, Tao Yang, Ye Yuan, Frank L. Lewis
2021 International Journal of Robust and Nonlinear Control  
This special issue focuses on the optimal control theory and learning for CPSs.  ...  The physical components include system dynamics, sensors, controllers, and the uncertain environment in which the system operates.  ...  The unknown environment, such as wind field, modulates system dynamics but may be unknown.  ... 
doi:10.1002/rnc.5442 fatcat:2sqn5j3urrgcrbjxfx6vsgvnci
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