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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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Bibliographic Details
Main Author: Köpf, Florian (auth)
Format: Electronic Book Chapter
Published: KIT Scientific Publishing 2022
Series:Karlsruher Beiträge zur Regelungs- und Steuerungstechnik
Subjects:
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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