Multi-event-triggered adaptive dynamic programming for non-zero-sum game of unknown nonlinear system
DOI10.1002/RNC.7256MaRDI QIDQ6498557
Qi Zhu, Xiang-Peng Xie, Kun Zhang
Publication date: 7 May 2024
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
neural networks (NNs)optimal tracking controliterative adaptive dynamic programming (ADP)multi-event-triggered (MET) controlnon-zero-sum game (NZSG)
Dynamic programming in optimal control and differential games (49L20) Discrete-time games (91A50) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Input-output approaches in control theory (93D25) Discrete event control/observation systems (93C65)
Cites Work
- Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning
- Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem
- Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming
- Online reinforcement learning for a class of partially unknown continuous-time nonlinear systems via value iteration
- Optimal tracking control for non‐zero‐sum games of linear discrete‐time systems via off‐policy reinforcement learning
- Adaptive critic optimization to decentralized event‐triggered control of continuous‐time nonlinear interconnected systems
- Off‐policy integral reinforcement learning‐based optimal tracking control for a class of nonzero‐sum game systems with unknown dynamics
- A novel actor-critic-identifier architecture for nonlinear multiagent systems with gradient descent method
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