Mathematical Methods in Robust Control of Linear Stochastic Systems
β Scribed by Vasile Dragan, Toader Morozan, Adrian-Mihail Stoica (auth.)
- Publisher
- Springer New York
- Year
- 2006
- Tongue
- English
- Leaves
- 319
- Series
- Mathematical Concepts and Methods in Science and Engineering 50
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Linear stochastic systems are successfully used to provide mathematical models for real processes in fields such as aerospace engineering, communications, manufacturing, finance and economy. This monograph presents a useful methodology for the control of such stochastic systems with a focus on robust stabilization in the mean square, linear quadratic control, the disturbance attenuation problem, and robust stabilization with respect to dynamic and parametric uncertainty. Systems with both multiplicative white noise and Markovian jumping are covered.
Key Features:
-Covers the necessary pre-requisites from probability theory, stochastic processes, stochastic integrals and stochastic differential equations
-Includes detailed treatment of the fundamental properties of stochastic systems subjected both to multiplicative white noise and to jump Markovian perturbations
-Systematic presentation leads the reader in a natural way to the original results
-New theoretical results accompanied by detailed numerical examples
-Proposes new numerical algorithms to solve coupled matrix algebraic Riccati equations.
The unique monograph is geared to researchers and graduate students in advanced control engineering, applied mathematics, mathematical systems theory and finance. It is also accessible to undergraduate students with a fundamental knowledge in the theory of stochastic systems.
β¦ Table of Contents
Front Matter....Pages i-xi
Preliminaries to Probability Theory and Stochastic Differential Equations....Pages 1-32
Exponential Stability and Lyapunov-Type Linear Equations....Pages 33-83
Structural Properties of Linear Stochastic Systems....Pages 85-108
The Riccati Equations of Stochastic Control....Pages 109-157
Linear Quadratic Control Problem for Linear Stochastic Systems....Pages 159-207
Stochastic Version of the Bounded Real Lemma and Applications....Pages 209-256
Robust Stabilization of Linear Stochastic Systems....Pages 257-304
Back Matter....Pages 305-312
β¦ Subjects
Systems Theory, Control; Probability Theory and Stochastic Processes
π SIMILAR VOLUMES
<p><p>This second edition of <i>Mathematical Methods in the Robust Control of Linear Stochastic Systems</i> includes a large number of recent results in the control of linear stochastic systems. More specifically, the new results presented are:</p><p> - A unified and abstract framework for Riccati t
<p><P>In this monograph the authors develop a theory for the robust control of discrete-time stochastic systems, subjected to both independent random perturbations and to Markov chains. Such systems are widely used to provide mathematical models for real processes in fields such as aerospace enginee
<p><P>In this monograph the authors develop a theory for the robust control of discrete-time stochastic systems, subjected to both independent random perturbations and to Markov chains. Such systems are widely used to provide mathematical models for real processes in fields such as aerospace enginee
The book covers the necessary pre-requisites from probability theory, stochastic processes, stochastic integrals and stochastic differential equations. It includes detailed treatment of the fundamental properties of stochastic systems subjected both to multiplicative white noise and to jump Markovia
Most books on this subject can be tiresome to read. The notation and endless equations without comments can be a real headache. This book is not one of those. You can open it anywhere and start reading and find an hour has passed before you know it. The writers talk TOO you as if you were the single