Adaptive Dynamic Programming: Solltrajektorienfolgeregelung und Konvergenzbedingungen
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...
| Format: | eBook |
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| Language: | German |
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KIT Scientific Publishing
2022
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| Series: | Karlsruher Beiträge zur Regelungs- und Steuerungstechnik
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| Subjects: | |
| Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
| Summary: | 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. |
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| Physical Description: | 1 online resource (304 p.) |
| ISBN: | 9783731511939 KSP/1000145970 |
| Access: | Open Access |