Robust Nonlinear Control Design

Robust Nonlinear Control Design
Author: Randy A. Freeman
Publisher: Springer Science & Business Media
Total Pages: 268
Release: 2009-05-21
Genre: Science
ISBN: 0817647597

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This softcover book summarizes Lyapunov design techniques for nonlinear systems and raises important issues concerning large-signal robustness and performance. The authors have been the first to address some of these issues, and they report their findings in this text. The researcher who wishes to enter the field of robust nonlinear control could use this book as a source of new research topics. For those already active in the field, the book may serve as a reference to a recent body of significant work. Finally, the design engineer faced with a nonlinear control problem will benefit from the techniques presented here.

Robust Nonlinear Control Design

Robust Nonlinear Control Design
Author: Randy Freeman
Publisher:
Total Pages: 276
Release: 2014-09-01
Genre:
ISBN: 9781489940858

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Mathematical Methods for Robust and Nonlinear Control

Mathematical Methods for Robust and Nonlinear Control
Author: Matthew C. Turner
Publisher: Springer Science & Business Media
Total Pages: 444
Release: 2007-10-23
Genre: Technology & Engineering
ISBN: 1848000251

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The underlying theory on which much modern robust and nonlinear control is based can be difficult to grasp. This volume is a collection of lecture notes presented by experts in advanced control engineering. The book is designed to provide a better grounding in the theory underlying several important areas of control. It is hoped the book will help the reader to apply otherwise abstruse ideas of nonlinear control in a variety of real systems.

Robust Nonlinear Control Design

Robust Nonlinear Control Design
Author: Randy A. Freeman
Publisher: Birkhauser
Total Pages: 257
Release: 1996-01-01
Genre: Doğrusal olmayan kontrol teorisi
ISBN: 9783764339302

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Nonlinear Control Design

Nonlinear Control Design
Author: Riccardo Marino
Publisher:
Total Pages: 396
Release: 1995-01-01
Genre: Automatic control.
ISBN: 9780133426359

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Nonlinear Control Design presents a self-contained introduction to nonlinear feedback control design for continuous time, finite-dimensional uncertain systems. It deals with nonlinear systems affected by uncertainties such as unknown constant parameters, time-varying disturbances, and uncertain nonlinearities. Both state feedback and output feedback are addressed. Differential geometric techniques are used to identify classes of nonlinear systems considered and to design feedback algorithms. Adaptive versions of these controls are developed in the presence of unknown parameters while robust versions are designed in the presence of time-varying disturbances. These control algorithms are applied to significant physical control problems from electric motor drives, robotics, aerospace, power systems and are illustrated through worked examples. The text is illustrated throughout with over 100 exercises, more than 75 worked examples and 12 physical examples.

Robust Control Design Using H-8 Methods

Robust Control Design Using H-8 Methods
Author: Ian R. Petersen
Publisher: Springer Science & Business Media
Total Pages: 478
Release: 2000-09-22
Genre: Computers
ISBN: 9781852331719

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This book provides a unified collection of important, recent results for the design of robust controllers for uncertain systems. Most of the results presented are based on H? control theory, or its stochastic counterpart, risk sensitive control theory.Central to the philosophy of the book is the notion of an uncertain system. Uncertain systems are considered using several different uncertainty modeling schemes. These include norm bounded uncertainty, integral quadratic constraint (IQC) uncertainty and a number of stochastic uncertainty descriptions. In particular, the authors examine stochastic uncertain systems in which the uncertainty is outlined by a stochastic version of the IQC uncertainty description.For each class of uncertain systems covered in the book, corresponding robust control problems are defined and solutions discussed.

Differential Neural Networks for Robust Nonlinear Control

Differential Neural Networks for Robust Nonlinear Control
Author: Alexander S. Poznyak
Publisher: World Scientific
Total Pages: 455
Release: 2001
Genre: Computers
ISBN: 9810246242

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This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be identified and controlled are assumed to be a priori unknown but belonging to a given class containing internal unmodelled dynamics and external perturbations as well. The error stability analysis and the corresponding error bounds for different problems are presented. The effectiveness of the suggested approach is illustrated by its application to various controlled physical systems (robotic, chaotic, chemical, etc.).

Robust Control Design with MATLAB®

Robust Control Design with MATLAB®
Author: Da-Wei Gu
Publisher: Springer Science & Business Media
Total Pages: 832
Release: 2005-06-20
Genre: Technology & Engineering
ISBN: 9781852339838

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Shows readers how to exploit the capabilities of the MATLAB® Robust Control and Control Systems Toolboxes to the fullest using practical robust control examples.

Control and Observer Design for Nonlinear Finite and Infinite Dimensional Systems

Control and Observer Design for Nonlinear Finite and Infinite Dimensional Systems
Author: Thomas Meurer
Publisher: Springer Science & Business Media
Total Pages: 440
Release: 2005-09-19
Genre: Technology & Engineering
ISBN: 9783540279389

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This volume presents a well balanced combination of state-of-the-art theoretical results in the field of nonlinear controller and observer design, combined with industrial applications stemming from mechatronics, electrical, (bio–) chemical engineering, and fluid dynamics. The unique combination of results of finite as well as infinite–dimensional systems makes this book a remarkable contribution addressing postgraduates, researchers, and engineers both at universities and in industry. The contributions to this book were presented at the Symposium on Nonlinear Control and Observer Design: From Theory to Applications (SYNCOD), held September 15–16, 2005, at the University of Stuttgart, Germany. The conference and this book are dedicated to the 65th birthday of Prof. Dr.–Ing. Dr.h.c. Michael Zeitz to honor his life – long research and contributions on the fields of nonlinear control and observer design.