adaptive-dynamic-programming-solltrajektorienfolgeregelung-und-konvergenzbedingungen.pdf

adaptive-dynamic-programming-solltrajektorienfolgeregelung-und-konvergenzbedingungen.pdf

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Γλώσσα:ger
Έκδοση: KIT Scientific Publishing 2022
Διαθέσιμο Online:https://doi.org/10.5445/KSP/1000145970
id oapen-20.500.12657-59238
record_format dspace
spelling oapen-20.500.12657-592382022-11-15T03:16:20Z Adaptive Dynamic Programming: Solltrajektorienfolgeregelung und Konvergenzbedingungen Köpf, Florian Adaptive Dynamic Programming (ADP); Reinforcement Learning (RL); Persistent Excitation (PE); adaptive Optimalregelung; lernende Regler; KI; Adaptive Optimal Control; Learning-Based Control; AI bic Book Industry Communication::T Technology, engineering, agriculture::TH Energy technology & engineering::THR Electrical engineering 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 excitation property, which is crucial for the convergence of the adaptation. Real-world applications of the presented adaptive optimal trajectory tracking control methods reveal their potential. 2022-11-14T14:28:27Z 2022-11-14T14:28:27Z 2022 book https://library.oapen.org/handle/20.500.12657/59238 ger Karlsruher Beiträge zur Regelungs- und Steuerungstechnik application/pdf Attribution-ShareAlike 4.0 International adaptive-dynamic-programming-solltrajektorienfolgeregelung-und-konvergenzbedingungen.pdf https://doi.org/10.5445/KSP/1000145970 KIT Scientific Publishing 10.5445/KSP/1000145970 10.5445/KSP/1000145970 44e29711-8d53-496b-85cc-3d10c9469be9 18 304 open access
institution OAPEN
collection DSpace
language ger
description 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 excitation property, which is crucial for the convergence of the adaptation. Real-world applications of the presented adaptive optimal trajectory tracking control methods reveal their potential.
title adaptive-dynamic-programming-solltrajektorienfolgeregelung-und-konvergenzbedingungen.pdf
spellingShingle adaptive-dynamic-programming-solltrajektorienfolgeregelung-und-konvergenzbedingungen.pdf
title_short adaptive-dynamic-programming-solltrajektorienfolgeregelung-und-konvergenzbedingungen.pdf
title_full adaptive-dynamic-programming-solltrajektorienfolgeregelung-und-konvergenzbedingungen.pdf
title_fullStr adaptive-dynamic-programming-solltrajektorienfolgeregelung-und-konvergenzbedingungen.pdf
title_full_unstemmed adaptive-dynamic-programming-solltrajektorienfolgeregelung-und-konvergenzbedingungen.pdf
title_sort adaptive-dynamic-programming-solltrajektorienfolgeregelung-und-konvergenzbedingungen.pdf
publisher KIT Scientific Publishing
publishDate 2022
url https://doi.org/10.5445/KSP/1000145970
_version_ 1771297618732777472

Παρόμοια τεκμήρια