Data-Driven Adaptive Dynamic Programming for Optimal Control of Continuous-Time Multicontroller Systems With Unknown Dynamics

This paper investigates the optimal control of continuous-time multi-controller systems with completely unknown dynamics using data-driven adaptive dynamic programming (DD-ADP). In this investigation, all controllers take actions together as a team, and they have precisely the same cost function, wh...

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Veröffentlicht in:	IEEE access Jg. 10; S. 41503 - 41511
1. Verfasser:	Zhao, Jingang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive control Adaptive dynamic programming Algorithms Control systems Control theory Controllers Cost function Dynamic programming fully cooperative games Game theory Games Heuristic algorithms Iterative methods Mathematical models multi-controller systems Neural networks Nonlinear control Nonlinear systems Optimal control Performance analysis Stability analysis System dynamics System effectiveness unknown dynamics
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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