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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE access Ročník 10; s. 41503 - 41511
Hlavný autor:	Zhao, Jingang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!