Event‐triggered neural experience replay learning for nonzero‐sum tracking games of unknown continuous‐time nonlinear systems
DOI10.1002/rnc.6709OpenAlexW4367680397MaRDI QIDQ6194544
Binrui Wang, Xiaohong Cui, Li-na Wang, Binbin Peng
Publication date: 12 March 2024
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.6709
tracking controlevent-triggered controladaptive dynamic programmingintegral reinforcement learningnonzero-sum
2-person games (91A05) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Dynamic programming (90C39) Discrete event control/observation systems (93C65)
Cites Work
- Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning
- Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems
- Multi-player non-zero-sum games: online adaptive learning solution of coupled Hamilton-Jacobi equations
- Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem
- Off-policy based adaptive dynamic programming method for nonzero-sum games on discrete-time system
- Neuro-optimal tracking control for a class of discrete-time nonlinear systems via generalized value iteration adaptive dynamic programming approach
- Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game
- Off‐policy integral reinforcement learning‐based optimal tracking control for a class of nonzero‐sum game systems with unknown dynamics
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