Using AVK method to solve nonlinear problems with uncertain parameters

被引：8

作者：

Badakhshan, K. P. ^{[1
]}

Kamyad, A. V.

Azemi, A.

机构：

[1] Ferdowsi Univ Mashhad, Dept Elect Engn, Mashhad, Iran

[2] Penn State Univ, Dept Engn, Philadelphia, PA 16802 USA

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2007年 / 189卷 / 01期

关键词：

uncertain parameter; nonlinear problem; optimal control; AVK method;

D O I：

10.1016/j.amc.2006.11.172

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Although we usually would like to work with exact systems, most of the real world systems are nonlinear with uncertain parameters. In this paper, we propose AVK (A.V. Kamyad) approach to solve nonlinear problems with uncertain parameters (NPUP). This approach substitutes the original nonlinear system with an equivalent nonlinear programming (NLP) problem. Using this approach, we found an optimal solution of NLP problem and a new approximate solution for the original NPUP in L-p space. (c) 2006 Published by Elsevier Inc.

引用

页码：27 / 34

页数：8