基于局部加权学习的未知非线性系统最优调节

2008 IEEE International Symposium on Intelligent Control Pub Date : 2008-09-30 DOI:10.1109/ISIC.2008.4635938

Wenjie Dong, J. Farrell

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引用次数: 3

摘要

本文研究未知非线性系统的最优控制问题。为了处理系统中的不确定性，提出了一种局部加权学习观测器。利用LWLO内逼近的函数，提出了逐点最小范数意义上的解析最优控制器。为了验证所提控制器的有效性，进行了数值仿真。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimal Regulation of Unknown Nonlinear Systems Based on Locally Weighted Learning

This paper considers the optimal control of unknown nonlinear systems. To deal with the uncertainties in the system, a locally weighted learning observer (LWLO) is proposed. Using the functions approximated within the LWLO, analytic optimal controllers are proposed in the sense of pointwise min-norm. To show effectiveness of the proposed controllers, numerical simulations are presented.

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2008 IEEE International Symposium on Intelligent Control

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