Global Optimal Output Regulation of Partially Linear Systems via Robust Adaptive Dynamic Programming

Weinan Gao, Zhong Ping Jiang

Research output: Contribution to journalArticle

Abstract

A non-model-based robust adaptive dynamic programming (RADP) approach is developed to solve the global optimal output regulation problem (GOORP) of partially linear systems with nonlinear dynamic uncertainties. By converting the output regulation problem into a global robust optimal stabilization problem, a robust optimal controller is designed by means of the RADP for the transformed system. Nonlinear small-gain theory is applied to conclude the global asymptotic stability for the closed-loop system and thus solves the original GOORP. Simulation results illustrate the effectiveness of the proposed methodology.

Original languageEnglish (US)
Pages (from-to)742-747
Number of pages6
JournalIFAC-PapersOnLine
Volume48
Issue number11
DOIs
StatePublished - 2015

Keywords

  • Robust adaptive dynamic programming (RADP)
  • adaptive control
  • output regulation
  • robust optimal control

ASJC Scopus subject areas

  • Control and Systems Engineering

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