NDLI: Probabilistically-robust performance optimization for controlled linear stochastic systems

Content Provider	IEEE Xplore Digital Library
Author	Taflanidis, A.A. Scruggs, J.T.
Copyright Year	2009
Description	Author affiliation: Department of Civil Engineering and Geological Sciences, University of Notre Dame, IN 46556 USA (Taflanidis, A.A.) \|\| Department of Civil and Environmental Engineering, Duke University, Durham, NC 27708 USA (Scruggs, J.T.)
Abstract	This study discusses a robust controller synthesis methodology for linear time invariant systems characterized by probabilistic parameter uncertainty. The optimization of the robust performance is considered. The extension of pre-existing, synthesis approaches, such as multi-objective H2 design, to account for probabilistic uncertainty is investigated. A design based on the concept of the reliability of the system response output is also considered. Analysis and synthesis methodologies based on stochastic simulation techniques are discussed. The design approach is applied in a structural control example. The results illustrate the differences between the various probabilistic performance objectives and the importance of adopting a probabilistic characterization for model uncertainty when compared to nominal design or to the design using a worst-case scenario approach.
Starting Page	4557
Ending Page	4562
File Size	668650
Page Count	6
File Format	PDF
ISBN	9781424445233
ISSN	07431619
DOI	10.1109/ACC.2009.5160249
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Optimization Control systems Stochastic systems Control system synthesis Uncertainty Robust control Time invariant systems Uncertain systems Robustness Stochastic processes
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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