Control of Discrete-Time Descriptor Systems An Anisotropy-Based Appr
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 minim
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Alexey A. Belov · Olga G. Andrianova Alexander P. Kurdyukov
Control of Discrete-Time Descriptor Systems An Anisotropy-Based Approach
Studies in Systems, Decision and Control Volume 157
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]
The series “Studies in Systems, Decision and Control” (SSDC) covers both new developments and advances, as well as the state of the art, in the various areas of broadly perceived systems, decision making and control- quickly, up to date and with a high quality. The intent is to cover the theory, applications, and perspectives on the state of the art and future developments relevant to systems, decision making, control, complex processes and related areas, as embedded in the fields of engineering, computer science, physics, economics, social and life sciences, as well as the paradigms and methodologies behind them. The series contains monographs, textbooks, lecture notes and edited volumes in systems, decision making and control spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems and other. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution and exposure which enable both a wide and rapid dissemination of research output.
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Alexey A. Belov Olga G. Andrianova Alexander P. Kurdyukov •
Control of Discrete-Time Descriptor Systems An Anisotropy-Based Approach
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Alexey A. Belov Department of Control Systems and Informatics ITMO University St. Petersburg Russia
Olga G. Andrianova Laboratory of Dynamics of Control Systems V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia
and and Laboratory of Dynamics of Control Systems V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia
School of Applied Mathematics HSE Tikhonov Moscow Institute of Electronics and Mathematics Moscow Russia Alexander P. Kurdyukov Laboratory of Dynamics of Control Systems V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia
ISSN 2198-4182 ISSN 2198-4190 (electronic) Studies in Systems, Decision and Control ISBN 978-3-319-78478-6 ISBN 978-3-319-78479-3 (eBook) https://doi.org/10.1007/978-3-319-78479-3 Library of Congress Control Number: 2018935859 Mathematics Subject Classification (2010): 93E20, 93E25, 93C05, 93C55 © Springer International Publishing AG, part of Springer Nature 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadc
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