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2021 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 51
2021
IEEE Transactions on Systems, Man & Cybernetics. Systems
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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
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., 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
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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
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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
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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
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., +, 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]
2022
arXiv
pre-print
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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
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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
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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
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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
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., +, 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
2014
Abstract and Applied Analysis
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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]
2020
arXiv
pre-print
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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
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., +, 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
2021
International Journal of Robust and Nonlinear Control
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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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