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Adaptive reinforcement learning for fault-tolerant optimal consensus control of nonlinear canonical multiagent systems with actuator loss of effectiveness
B Zhu, L Zhang, B Niu, N Zhao - IEEE Systems Journal, 2024 - ieeexplore.ieee.org
This article addresses the adaptive optimized consensus tracking control problem of
nonlinear multiagent systems (MASs) via a reinforcement learning (RL) algorithm …
nonlinear multiagent systems (MASs) via a reinforcement learning (RL) algorithm …
Zero-sum game-based hierarchical sliding-mode fault-tolerant tracking control for interconnected nonlinear systems via adaptive critic design
This paper investigates a zero-sum game (ZSG)-based fault-tolerant tracking control
problem for a class of interconnected nonlinear systems, in which the faults of each …
problem for a class of interconnected nonlinear systems, in which the faults of each …
Multi‐innovation gradient‐based iterative identification methods for feedback nonlinear systems by using the decomposition technique
D Yang, F Ding - International Journal of Robust and Nonlinear …, 2023 - Wiley Online Library
This paper studies the parameter estimation problems of feedback nonlinear systems.
Combining the multi‐innovation identification theory with the negative gradient search, we …
Combining the multi‐innovation identification theory with the negative gradient search, we …
Adaptive fuzzy fixed-time control for high-order nonlinear systems with sensor and actuator faults
In this article, an adaptive fuzzy fixed-time fault-tolerant tracking control problem for high-
order nonlinear systems (HONSs) with sensor and actuator faults is considered. The fuzzy …
order nonlinear systems (HONSs) with sensor and actuator faults is considered. The fuzzy …
Prescribed-time extended state observer and prescribed performance control of quadrotor UAVs against actuator faults
W Gong, B Li, CK Ahn, Y Yang - Aerospace Science and Technology, 2023 - Elsevier
The detection and accommodation of actuator faults in control systems have received
considerable attention. However, the existing fault-tolerant control techniques typically …
considerable attention. However, the existing fault-tolerant control techniques typically …
Event-based asymptotic tracking control for constrained MIMO nonlinear systems via a single-parameter adaptation method
The issue of event-based asymptotic tracking control for constrained multi-input–multi-output
(MIMO) nonlinear systems by designing a single-parameter adaptation method is addressed …
(MIMO) nonlinear systems by designing a single-parameter adaptation method is addressed …
Fixed-time stabilization of high-order uncertain nonlinear systems: Output feedback control design and settling time analysis
C Guo, J Hu - Journal of Systems Science and Complexity, 2023 - Springer
This paper is devoted to stabilizing the high-order uncertain nonlinear system in a fixed time
by output feedback control. First, a novel settling time solution method is proposed by …
by output feedback control. First, a novel settling time solution method is proposed by …
Decentralized event‐triggered output feedback adaptive neural network control for a class of MIMO uncertain strict‐feedback nonlinear systems with input saturation
O Bey, M Chemachema - International Journal of Adaptive …, 2024 - Wiley Online Library
For a class of multiple‐input multiple‐output large‐scale nonlinear systems in strict‐
feedback form with input saturation, external disturbances and immeasurable states, an …
feedback form with input saturation, external disturbances and immeasurable states, an …
Quantized fuzzy feedback control for electric vehicle lateral dynamics
XH Chang, XM Liu, LW Hou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The problem of quantized feedback control for lateral dynamics of electric vehicles is
investigated in this article, in which the nonlinear vehicle lateral is represented by the T–S …
investigated in this article, in which the nonlinear vehicle lateral is represented by the T–S …