Multivariate adaptive regression B-spline algorithm (BMARS) for solving a class of nonlinear optimal feedback control problems

被引：4
|
作者：
Richardson, Steven [1 ]
Wang, Song [1 ]
Jennings, Les S. [1 ]
机构：
[1] Univ Western Australia, Crawley, WA 6009, Australia
来源：
AUTOMATICA | 2008年 / 44卷 / 04期
基金：
澳大利亚研究理事会;
关键词：
adaptive algorithm; feedback control; optimal control; robustness; splines; parallelisation;
D O I：
10.1016/j.automatica.2007.09.001
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we present a novel method for solving a class of nonlinear optimal feedback control problems with moderately high dimensional state spaces, based on an adapted version of the BMARS algorithm. Numerical experiments were performed using problems with up to six state variables. The numerical results clearly demonstrate the efficiency and potential of the method for solving high dimensional problems. (c) 2007 Elsevier Ltd. All rights reserved.
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页码：1149 / 1155
页数：7
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