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Titlebook: S-Variable Approach to LMI-Based Robust Control; Yoshio Ebihara,Dimitri Peaucelle,Denis Arzelier Book 2015 Springer-Verlag London 2015 LMI

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楼主: nourish
发表于 2025-3-26 21:38:59 | 显示全部楼层
Descriptor Case and System Augmentation,n. First the SV results are generalized to descriptor systems. Not only this result is valuable in itself, but, combined to a model manipulation technique, an infinite sequence of SV-LMIs can be build. This sequence of SV-LMIs is shown to be easy to construct and proved to be of decreasing conservat
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Multiobjective Controller Synthesis for LTI Systems,le (and typically conflicting) design specifications. In the state-feedback case, the advantage of the SV-LMIs readily follows from the synthesis results in Chap. .. To handle output-feedback case, we first extend the results of Chap. . and provide SV-LMI-based formulas for dynamic output-feedback c
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Static Output-Feedback Synthesis,gn. No polynomial-time optimization method exists for that problem, and if keeping in the matrix inequality framework, one has to resort to iterative LMI algorithms. For that important and hard problem, the SV approach produces a sophisticated version of such iterative LMI algorithm. In this case, t
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Robust Performance Analysis of Discrete-Time Periodic Systems,ausal system interpretations. Similarly to the LTI case, SV-LMIs are effective for reducing the conservatism of the analysis results when dealing with discrete-time periodic systems affected by polytopic uncertainties.
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Robust Controller Synthesis of Periodic Discrete-Time Systems,f variables that is almost identical to the LTI case, we can readily obtain SV-LMIs for periodic state-feedback controller synthesis. We illustrate by numerical examples that the SV-LMIs are indeed effective in conservatism reduction when dealing with discrete-time periodic systems affected by polyt
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0178-5354 dable exposition provides an entry path for non-experts to t.This book shows how the use of S-variables (SVs) in enhancing the range of problems that can be addressed with the already-versatile linear matrix inequality (LMI) approach to control can, in many cases, be put on a more unified, methodica
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1064-3745 s and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls..Cutting-edge and thorough, .Protein Chromatograp978-1-4939-8191-5978-1-4939-6412-3Series ISSN 1064-3745 Series E-ISSN 1940-6029
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