Stabilization Optimal and Robust Control

This book PDF is perfect for those who love Technology & Engineering genre, written by Aziz Belmiloudi and published by Springer Science & Business Media which was released on 17 August 2008 with total hardcover pages 509. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Stabilization Optimal and Robust Control books below.

Stabilization  Optimal and Robust Control
Author : Aziz Belmiloudi
File Size : 43,5 Mb
Publisher : Springer Science & Business Media
Language : English
Release Date : 17 August 2008
ISBN : 9781848003446
Pages : 509 pages
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Stabilization Optimal and Robust Control by Aziz Belmiloudi Book PDF Summary

Stabilization, Optimal and Robust Control develops robust control of infinite-dimensional dynamical systems derived from time-dependent coupled PDEs associated with boundary-value problems. Rigorous analysis takes into account nonlinear system dynamics, evolutionary and coupled PDE behaviour and the selection of function spaces in terms of solvability and model quality. Mathematical foundations are provided so that the book remains accessible to the non-control-specialist. Following chapters giving a general view of convex analysis and optimization and robust and optimal control, problems arising in fluid mechanical, biological and materials scientific systems are laid out in detail. The combination of mathematical fundamentals with application of current interest will make this book of much interest to researchers and graduate students looking at complex problems in mathematics, physics and biology as well as to control theorists.

Stabilization  Optimal and Robust Control

Stabilization, Optimal and Robust Control develops robust control of infinite-dimensional dynamical systems derived from time-dependent coupled PDEs associated with boundary-value problems. Rigorous analysis takes into account nonlinear system dynamics, evolutionary and coupled PDE behaviour and the selection of function spaces in terms of solvability and model quality. Mathematical foundations are

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