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arXiv · 1303.2247

Robust Adaptive Dynamic Programming for Optimal Nonlinear Control Design

Yu Jiang·Zhong-Ping Jiang
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Abstract

This paper studies the robust optimal control design for uncertain nonlinear systems from a perspective of robust adaptive dynamic programming (robust-ADP). The objective is to fill up a gap in the past literature of ADP where dynamic uncertainties or unmodeled dynamics are not addressed. A key strategy is to integrate tools from modern nonlinear control theory, such as the robust redesign and the backstepping techniques as well as the nonlinear small-gain theorem, with the theory of ADP. The proposed robust-ADP methodology can be viewed as a natural extension of ADP to uncertain nonlinear systems. A practical learning algorithm is developed in this paper, and has been applied to a sensorimotor control problem.

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Yu Jiang, Zhong-Ping Jiang. 2013-03-09. Robust Adaptive Dynamic Programming for Optimal Nonlinear Control Design. https://arxiv.org/abs/1303.2247

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