Optimized backstepping consensus control using adaptive observer-critic-actor reinforcement learning for strict-feedback multi-agent systems
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Publication:6495016
DOI10.1016/J.JFRANKLIN.2024.106693MaRDI QIDQ6495016
Kalyana C. Veluvolu, Guo-Xing Wen, Jiahao Zhu
Publication date: 30 April 2024
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Feedback control (93B52) Adaptive control/observation systems (93C40) Multi-agent systems (93A16) Consensus (93D50) Observers (93B53)
Cites Work
- Optimal scheduling for reference tracking or state regulation using reinforcement learning
- Neural networks-based adaptive output feedback control for a class of uncertain nonlinear systems with input delay and disturbances
- Cooperative robust optimal control of uncertain multi-agent systems
- Network-based leader-following consensus for distributed multi-agent systems
- Distributed command filtered backstepping consensus tracking control of nonlinear multiple-agent systems in strict-feedback form
- Leaderless consensus control of uncertain multi-agents systems with sensor and actuator attacks
- Simplified optimized control using reinforcement learning algorithm for a class of stochastic nonlinear systems
- Optimal trajectory exploration large-scale deep reinforcement learning tuned optimal controller for proton exchange membrane fuel cell
- Neural-network-observer-based optimal control for unknown nonlinear systems using adaptive dynamic programming
- Online adaptive algorithm for optimal control with integral reinforcement learning
- Cooperative Optimal Control for Multi-Agent Systems on Directed Graph Topologies
- Exploratory HJB Equations and Their Convergence
- Command-filter-based adaptive finite-time consensus control for nonlinear strict-feedback multi-agent systems with dynamic leader
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