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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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Opis bibliograficzny
1. autor:	Köpf, Florian (auth)
Format:	Elektroniczne Rozdział
Wydane:	KIT Scientific Publishing 2022
Seria:	Karlsruher Beiträge zur Regelungs- und Steuerungstechnik 18
Hasła przedmiotowe:	Electrical engineering Adaptive Dynamic Programming (ADP); Reinforcement Learning (RL); Persistent Excitation (PE); adaptive Optimalregelung; lernende Regler; KI; Adaptive Optimal Control; Learning-Based Control; AI
Dostęp online:	OAPEN Library: download the publication OAPEN Library: description of the publication
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

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