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Adaptive Dynamic Programming: Solltrajektorienfolgeregelung und Konvergenzbedingungen

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In this work, discrete-time and continuous-time methods that integrate flexible reference trajectory representations into Adaptive Dynamic Programming approaches are presented and analyzed for the first time. Moreover, theoretical conditions on the system state are derived that ensure the persistent...

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Главный автор:	Köpf, Florian (auth)
Формат:	Электронный ресурс Глава книги
Опубликовано:	KIT Scientific Publishing 2022
Серии:	Karlsruher Beiträge zur Regelungs- und Steuerungstechnik
Предметы:	Electrical engineering Adaptive Dynamic Programming (ADP); Reinforcement Learning (RL); Persistent Excitation (PE); adaptive Optimalregelung; lernende Regler; KI; Adaptive Optimal Control; Learning-Based Control; AI
Online-ссылка:	DOAB: download the publication DOAB: description of the publication
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