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Titlebook: Control of Discrete-Time Descriptor Systems; An Anisotropy-Based Alexey A. Belov,Olga G. Andrianova,Alexander P. Ku Book 2018 Springer Int

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发表于 2025-3-21 17:48:51 | 显示全部楼层 |阅读模式
书目名称Control of Discrete-Time Descriptor Systems
副标题An Anisotropy-Based
编辑Alexey A. Belov,Olga G. Andrianova,Alexander P. Ku
视频video
概述Contains numerous examples of practical application of descriptor systems in various fields.Presents an information-theoretic approach to mathematical description of colored noise.Equips readers with
丛书名称Studies in Systems, Decision and Control
图书封面Titlebook: Control of Discrete-Time Descriptor Systems; An Anisotropy-Based  Alexey A. Belov,Olga G. Andrianova,Alexander P. Ku Book 2018 Springer Int
描述Control of Discrete-Time Descriptor Systems takes an anisotropy-based approach to the explanation of random input disturbance with an information-theoretic representation. It describes the random input signal more precisely, and the anisotropic norm minimization included in the book enables readers to tune their controllers better through the mathematical methods provided. The book contains numerous examples of practical applications of descriptor systems in various fields, from robotics to economics, and presents an information-theoretic approach to the mathematical description of coloured noise. Anisotropy-based analysis and design for descriptor systems is supplied along with proofs of basic statements, which help readers to understand the algorithms proposed, and to undertake their own numerical simulations..   This book serves as a source of ideas for academic researchers and postgraduate students working in the control of discrete-time systems. The control design procedures outlined are numerically effective and easily implementable in MATLAB®.
出版日期Book 2018
关键词LDTI Descriptor Systems; Anisotropy-based Robust Control; Anisotropic Norm; Coloured Noise; Mean Anisotr
版次1
doihttps://doi.org/10.1007/978-3-319-78479-3
isbn_softcover978-3-030-08709-8
isbn_ebook978-3-319-78479-3Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Anisotropy-Based Analysis for LDTI Descriptor Systems with Nonzero-Mean Input Signals,ystems, an input signal can be a stochastic signal with nonzero mean. That is why the extension of anisotropy-based theory on the class of signals with nonzero mean has a practical interest. In this chapter, we consider the concept of anisotropy of the random vector with nonzero mean and give a defi
发表于 2025-3-22 11:58:16 | 显示全部楼层
Robust Anisotropy-Based Control,ynamical systems. Uncertainties in such systems are often causes of instability and bad performance. It is known that control of uncertain descriptor systems is much more complicated than that of the normal ones. The aim of this chapter is to provide conditions of anisotropic norm boundedness for de
发表于 2025-3-22 15:19:19 | 显示全部楼层
Vermittlung von BIM in der Hochschullehreti inequalities (GDARI) with one matrix variable; in [., .] conditions are given in terms of strict LMIs. Using the methods of control law design, proposed in the mentioned papers, we solve the suboptimal anisotropy-based control problem for descriptor systems.
发表于 2025-3-22 19:14:27 | 显示全部楼层
2198-4182 ves as a source of ideas for academic researchers and postgraduate students working in the control of discrete-time systems. The control design procedures outlined are numerically effective and easily implementable in MATLAB®.978-3-030-08709-8978-3-319-78479-3Series ISSN 2198-4182 Series E-ISSN 2198-4190
发表于 2025-3-22 23:54:15 | 显示全部楼层
Suboptimal Control,ti inequalities (GDARI) with one matrix variable; in [., .] conditions are given in terms of strict LMIs. Using the methods of control law design, proposed in the mentioned papers, we solve the suboptimal anisotropy-based control problem for descriptor systems.
发表于 2025-3-23 05:25:48 | 显示全部楼层
,Abschließendes Fazit und Ausblick,With the development of computer technology, the theory of descriptor systems began to play an important role in the theory of automatic control. In this chapter, we consider some practical applications connected with the development of mathematical models of processes and control plants in descriptor form.
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