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

Weinan Gao; Zhong Ping Jiang

doi:10.1016/j.ifacol.2015.09.278

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

Weinan Gao, Zhong Ping Jiang

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Pages (from-to)	742-747
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	48
Issue number	11 11
DOIs	https://doi.org/10.1016/j.ifacol.2015.09.278
State	Published - 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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10.1016/j.ifacol.2015.09.278

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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.",

keywords = "Robust adaptive dynamic programming (RADP), adaptive control, output regulation, robust optimal control",

author = "Weinan Gao and Jiang, {Zhong Ping}",

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doi = "10.1016/j.ifacol.2015.09.278",

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AB - 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.

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KW - robust optimal control

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

Abstract

Keywords

ASJC Scopus subject areas

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