Article ID Journal Published Year Pages File Type
4635352 Applied Mathematics and Computation 2007 8 Pages PDF
Abstract
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 Lp space.
Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
Authors
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