Electrical & Computer Engineering Faculty Publications

Document Type

Article

Publication Date

12-9-2003

Abstract

Many practical control problems are so complex that traditional analysis and design methods fail to solve. Consequently, sampling methods that provide approximate solutions to such difficult problems have emerged. In this paper we address the deterministic quasi-Monte Carlo method of sampling and attempt to impose bounds on the error involved in the evaluation of the quality of performance of a specific controller over the whole plant parameter uncertainty space.

Publisher

IEEE

Publication Title

Proceedings of the 42nd IEEE Conference on Decision and Control

ISSN

0191-2216

First Page

2435

Last Page

2440

DOI

10.1109/CDC.2003.1272985

Language (ISO)

English

Sponsorship

IEEE

Keywords

Chaos, Control systems, Error correction

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