Observer-based reinforcement learning for optimal fault-tolerant consensus control of nonlinear multi-agent systems via a dynamic event-triggered mechanism
From MaRDI portal
Publication:6658940
DOI10.1016/J.INS.2024.121350MaRDI QIDQ6658940
Boyan Zhu, Ben Niu, Hongjing Liang, Huanqing Wang, Ning Zhao, Xudong Zhao
Publication date: 8 January 2025
Published in: Information Sciences (Search for Journal in Brave)
fault-tolerant controldynamic event-triggered mechanismobserver-based reinforcement learning (RL)optimal consensus tracking control
Cites Work
- Off‐policy integral reinforcement learning‐based optimal tracking control for a class of nonzero‐sum game systems with unknown dynamics
- Tube-based model predictive full containment control for stochastic multi-agent systems
- ADP-based event-sampled optimized consensus tracking of stochastic multi-agent systems with actuator faults
- Excitation for Adaptive Optimal Control of Nonlinear Systems in Differential Games
- Fuzzy-based adaptive event-triggered control for nonlinear cyber-physical systems against deception attacks via a single parameter learning method
- Fixed‐time event‐triggered consensus tracking control for uncertain nonlinear multiagent systems with dead‐zone constraint
- Distributed adaptive consensus for nonlinear multi-agent systems under event-triggered communication using a polynomial approach
- Adaptive terminal sliding mode active fault-tolerant control for a class of uncertain nonlinear systems with application of aircraft wing model with actuator faults
- Finite-time event-triggered output-feedback adaptive decentralized echo-state network fault-tolerant control for interconnected pure-feedback nonlinear systems with input saturation and external disturbances: a fuzzy control-error approach
- Observer-based fuzzy tracking control of nonlinear systems with intermittent output constraints
- Adaptive dynamic surface control of MIMO nonlinear systems: a hybrid event triggering mechanism
- Asymptotically efficient quasi-Newton type identification with quantized observations under bounded persistent excitations
- Finite-time adaptive optimal control of uncertain strict-feedback nonlinear systems based on fuzzy observer and reinforcement learning
- Finite-time stability analysis of a class of discrete-time switched nonlinear systems with partial finite-time unstable modes
- Adaptive decentralized fixed-time neural control for constrained strong interconnected nonlinear systems with input quantization
- Periodic event-triggered bipartite containment control for nonlinear multi-agent systems with input delay
- Event-triggered secure consensus for second-order nonlinear multiagent systems against asynchronous DoS attacks
- Adaptive optimized backstepping tracking control for full-state constrained nonlinear strict-feedback systems without using barrier Lyapunov function method
This page was built for publication: Observer-based reinforcement learning for optimal fault-tolerant consensus control of nonlinear multi-agent systems via a dynamic event-triggered mechanism
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6658940)
