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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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Auteur principal: Köpf, Florian (auth)
Format: Électronique Chapitre de livre
Publié: KIT Scientific Publishing 2022
Collection:Karlsruher Beiträge zur Regelungs- und Steuerungstechnik 18
Sujets:
Electrical engineering
Adaptive Dynamic Programming (ADP); Reinforcement Learning (RL); Persistent Excitation (PE); adaptive Optimalregelung; lernende Regler; KI; Adaptive Optimal Control; Learning-Based Control; AI
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