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®
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®
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 anisotropy-based analysis and design for descriptor systems, which allows them to understand the proposed algorithms thoroughly and to hold their own numerical simulation
Alexey A. Belov
LDTI Descriptor Systems Anisotropy-based Robust Control Anisotropic Norm Coloured Noise Mean Anisotropy Suboptimal Control Optimal Control Norm-bounded Uncerainties linear stationary descriptor systems
“The book presents recent results on the anisotropy based optimal control of discrete time descriptor systems. It will be of high value to all researchers interested in the field and its future developments.” (Lazaros Moysis, zbMATH 1391.93001, 2018)
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