Neural network-based adaptive optimal containment control for non-affine nonlinear multi-agent systems within an identifier-actor-critic framework
From MaRDI portal
Publication:6177529
DOI10.1016/j.jfranklin.2023.06.014zbMath1520.93283MaRDI QIDQ6177529
Yanwei Zhao, Xudong Zhao, Ben Niu, Guangdeng Zong, Khalid H. Alharbi
Publication date: 31 August 2023
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Dynamic programming in optimal control and differential games (49L20) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Multi-agent systems (93A16)
Related Items (3)
Neural networks-based adaptive tracking control for full-state constrained switched nonlinear systems with periodic disturbances and actuator saturation ⋮ Resilient distributed secure consensus control for uncertain networked agent systems under hybrid DoS attacks ⋮ Trajectory tracking control for underactuated autonomous vehicles via adaptive dynamic programming
Cites Work
- Distributed finite-time attitude containment control for multiple rigid bodies
- Distributed adaptive containment control of uncertain nonlinear multi-agent systems in strict-feedback form
- Small-gain technique-based adaptive output constrained control design of switched networked nonlinear systems via event-triggered communications
- Containment control of linear multi‐agent systems with multiple leaders of bounded inputs using distributed continuous controllers
- Leader-Following Attitude Consensus of Multiple Rigid Spacecraft Systems Under Switching Networks
- Adaptive neural decentralised control for switched interconnected nonlinear systems with backlash-like hysteresis and output constraints
- Time-varying nonholonomic robot consensus formation using model predictive based protocol with switching topology
- Dynamic event-triggered control for discrete-time nonlinear Markov jump systems using policy iteration-based adaptive dynamic programming
This page was built for publication: Neural network-based adaptive optimal containment control for non-affine nonlinear multi-agent systems within an identifier-actor-critic framework
