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Adaptive Dynamic Programming: Solltrajektorienfolgeregelung und Konvergenzbedingungen

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 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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This work has been downloaded 33 times via unglue.it ebook links.
  1. 33 - pdf (CC BY-SA) at OAPEN Library.

Keywords

  • adaptive dynamic programming (ADP)
  • adaptive optimal control
  • adaptive Optimalregelung
  • AI
  • Electrical engineering
  • Energy technology & engineering
  • KI
  • Learning-Based Control
  • lernende Regler
  • Persistent Excitation (PE)
  • reinforcement learning (RL)
  • Technology, engineering, agriculture

Links

DOI: 10.5445/KSP/1000145970

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