Decentralised zero-sum differential game for a class of large-scale interconnected systems via adaptive dynamic programming
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Publication:5240685
DOI10.1080/00207179.2018.1466059zbMath1425.93022OpenAlexW2800356679MaRDI QIDQ5240685
Publication date: 29 October 2019
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207179.2018.1466059
large-scale systemsdifferential gamedecentralised controladaptive dynamic programming (ADP)matched interconnections
Differential games (aspects of game theory) (91A23) Nonlinear systems in control theory (93C10) Dynamic programming (90C39) Decentralized systems (93A14) Control/observation systems governed by ordinary differential equations (93C15) Large-scale systems (93A15)
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Cites Work
- Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics
- Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems
- Neural-network-based robust optimal control design for a class of uncertain nonlinear systems via adaptive dynamic programming
- Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem
- Decentralized adaptive optimal stabilization of nonlinear systems with matched interconnections
- Online solution of nonquadratic two-player zero-sum games arising in theH ∞ control of constrained input systems
- Hierarchical Decomposition Based Consensus Tracking for Uncertain Interconnected Systems via Distributed Adaptive Output Feedback Control
- Data‐Driven Adaptive Critic Approach for Nonlinear Optimal Control via Least Squares Support Vector Machine
- Robust differential game guidance laws design for uncertain interceptor-target engagement via adaptive dynamic programming
- Observer-critic structure-based adaptive dynamic programming for decentralised tracking control of unknown large-scale nonlinear systems
