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Titlebook: Uncertain Models and Robust Control; Alexander Weinmann Book 1991 Springer-Verlag Wien 1991 Signal.Transit.control.control system.control

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书目名称Uncertain Models and Robust Control
编辑Alexander Weinmann
视频video
图书封面Titlebook: Uncertain Models and Robust Control;  Alexander Weinmann Book 1991 Springer-Verlag Wien 1991 Signal.Transit.control.control system.control
描述Control systems particularly designed to manage uncertainties are called robust control system. Choosing appropriate design methods, the influence of uncertainties on the closed-loop behaviour can be reduced to a large extent.Most of the important areas of robust control are covered. The aim of the book is to provide an introduction to the theory and methods of robust control system design, to present a coherent body of knowledge, to clarify and unify presentation of significant derivations and proofs. The book contains a thorough treatment of important material of uncertainties and robust control which is scattered throughout the literature.
出版日期Book 1991
关键词Signal; Transit; control; control system; control theory; feedback; interconnect; model; nonlinear control; n
版次1
doihttps://doi.org/10.1007/978-3-7091-6711-3
isbn_softcover978-3-7091-7390-9
isbn_ebook978-3-7091-6711-3
copyrightSpringer-Verlag Wien 1991
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发表于 2025-3-21 22:44:29 | 显示全部楼层
Book 1991unify presentation of significant derivations and proofs. The book contains a thorough treatment of important material of uncertainties and robust control which is scattered throughout the literature.
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Introductory Surveyral robust control concepts is embedded into general techniques of how to overcome uncertain systems. Furthermore, concepts are included that already exist and that are likely to be applicable in the future.
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Vector Norm. Matrix Norm. Matrix Measureuating vectors and matrices by a single number. Most of the important relations for norms are listed or derived in this chapter. This material may be considered as a kind of reference, and the chapter may be skipped when the reader is already familiar with this subject.
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Functional Analysis, Function Norms and Control Signalshin a region .. Then, this function . is said to be within the function space (or set of functions) L.(.). In most cases, . is given by an interval [t., ∞). The function norm ∥If∥. of the entire function . is defined by
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Analysis Using Matrices and Control Theorytrix calculus frequently is applied. In these cases, the differentiation of scalar-, vector- and matrix- valued functions with respect to scalars, vectors or matrices is required. An overview of the nine cases arising is given in Table 5.1. Moreover, Kronecker algebra as discussed in former chapters
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Lyapunov-Based Methods for Perturbed Discrete-Time Systems parameters of the process. However, with regard to varying random sampling another type of uncertainty may arise in control systems. The stability margin and the expectation of the stability margin can be assessed by simple formulae ..
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