Understand direct NDP with linear quadratic regulation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper falls into the general area of approximate dynamic programming. Direct NDP designs are further analyzed using classic control-theoretic sensitivity arguments. The relationship between direct NDP and LQR designs are discussed due to their resemblances in system performance functions. The cart-pole benchmark problem is used to demonstrate the possibility that direct NDP sometimes produces LQR-like designs. It is also shown that given a well-designed direct NDP control system, one can find a corresponding LQR design which exhibits comparable closed-loop performance. The convergence properties are studied by taking direct NDP under the linear LQR control environment

Original languageEnglish (US)
Title of host publicationIEEE International Symposium on Intelligent Control - Proceedings
Pages374-379
Number of pages6
StatePublished - 2004
EventProceedings of the 2004 IEEE International Symposium on Intelligent Control - 2004 ISIC - Taipei, Taiwan, Province of China
Duration: Sep 2 2004Sep 4 2004

Other

OtherProceedings of the 2004 IEEE International Symposium on Intelligent Control - 2004 ISIC
CountryTaiwan, Province of China
CityTaipei
Period9/2/049/4/04

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering

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    Yang, L., Si, J., Tsakalis, K., & Rodriguez, A. (2004). Understand direct NDP with linear quadratic regulation. In IEEE International Symposium on Intelligent Control - Proceedings (pp. 374-379)