Best performance analysis for stochastic perturbation systems with spectral factorization

We investigate the best performance for linear feedback control systems in the case that plant uncertainty is to be considered. First, we define an average integral square criterion of tracking error over a class of stochastic model errors. By utilizing spectral factorization to minimize the perform...

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Bibliographic Details
Published inJournal of Shanghai University Vol. 12; no. 1; pp. 80 - 84
Main Author 王建国 曹广益 朱新坚
Format Journal Article
LanguageEnglish
Published Shanghai Shanghai University Press 01.02.2008
Subjects
Classical Mechanics
Engineering
Environment
Life Sciences
Materials Science
Mathematical and Computational Engineering
Mechatronics
最优性能分析
电子技术
谱分解方法
随机摄动系统
plant uncertainty
best tracking
stochastic perturbation
spectral factorization
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Summary:We investigate the best performance for linear feedback control systems in the case that plant uncertainty is to be considered. First, we define an average integral square criterion of tracking error over a class of stochastic model errors. By utilizing spectral factorization to minimize the performance index, we derive an optimal controller design method and further study best performance in the presence of stochastic perturbation. The results can be used to evaluate optimal performance in practical control system designs.
Bibliography:best tracking, plant uncertainty, stochastic perturbation, spectral factorization
31-1735/N
TN0
ISSN:1007-6417
1863-236X
DOI:10.1007/s11741-008-0116-1