Mathematical Methods for Robust and Nonlinear Control : EPSRC Summer School / edited by Matthew C. Turner, Declan G. Bates.

Por:

Turner, Matthew C [editor.]

Colaborador(es):

Tipo de material: Texto

TextoSeries Lecture Notes in Control and Information Sciences ; 367Editor: London : Springer London, 2007Descripción: recurso en líneaTipo de contenido:

texto

Tipo de medio:

computadora

Tipo de portador:

recurso en línea

ISBN:

9781848000254

Formatos físicos adicionales: Edición impresa:: Sin títuloRecursos en línea:

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Contenidos:

Theory of Robust and Nonlinear Control -- Control Design -- Structural Methods for Linear Systems: An Introduction -- Modelling and Model Reduction–State-Space Truncation -- Linear Matrix Inequalities in Control -- Anti-windup Compensation and the Control of Input-Constrained Systems -- Output Feedback Loop-Shaping Controller Synthesis -- Stability and Asymptotic Behaviour of Nonlinear Systems: An Introduction -- Sliding-Mode Observers -- Sliding-Mode Control in Systems with Output Time Delay -- Applications of Robust and Nonlinear Control -- Control Engineering and Systems Biology -- Robust Control of a Distillation Column -- Robust Control of a Hard-Disk Drive -- Modelling and Control of Railway Vehicle Suspensions -- Case Study on Anti-windup Compensation - Micro-actuator Control in a Hard-Disk Drive -- Enhancing Immune System Response Through Optimal Control.

Resumen: The theory on which much modern robust and nonlinear control is based can be difficult for students from a standard engineering background and industrial practitioners to grasp. Mathematical Methods for Robust and Nonlinear Control is a collection of lecture notes, useful for filling in this gap, which were presented at a summer school in Leicester UK by a group of experts in advanced control engineering of international origins and consists of two parts. The first ten chapters are devoted to the mathematical theory behind several areas of robust and nonlinear control and are aimed at introducing fundamental concepts to the reader. The last six chapters contain detailed case studies which demonstrate the use and effectiveness of these modern techniques in real engineering applications. It is hoped that this book will provide a useful introduction for students of many of the more common robust and nonlinear control techniques as well as serving as a valuable reference for the more adept practitioner.

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The theory on which much modern robust and nonlinear control is based can be difficult for students from a standard engineering background and industrial practitioners to grasp. Mathematical Methods for Robust and Nonlinear Control is a collection of lecture notes, useful for filling in this gap, which were presented at a summer school in Leicester UK by a group of experts in advanced control engineering of international origins and consists of two parts. The first ten chapters are devoted to the mathematical theory behind several areas of robust and nonlinear control and are aimed at introducing fundamental concepts to the reader. The last six chapters contain detailed case studies which demonstrate the use and effectiveness of these modern techniques in real engineering applications. It is hoped that this book will provide a useful introduction for students of many of the more common robust and nonlinear control techniques as well as serving as a valuable reference for the more adept practitioner.

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