Last edited by Garg
Wednesday, August 5, 2020 | History

1 edition of Robust Control Design Using H-∞%x; Methods found in the catalog.

Robust Control Design Using H-∞%x; Methods

by Ian R. Petersen

  • 310 Want to read
  • 30 Currently reading

Published by Springer London in London .
Written in English

    Subjects:
  • Engineering,
  • Engineering design

  • About the Edition

    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.

    Edition Notes

    Statementby Ian R. Petersen, Valery A. Ugrinovskii, Andrey V. Savkin
    SeriesCommunications and Control Engineering, Communications and control engineering
    ContributionsUgrinovskii, Valery A., Savkin, Andrey V.
    Classifications
    LC ClassificationsTJ212-225
    The Physical Object
    Format[electronic resource] /
    Pagination1 online resource (xvi, 451 p.)
    Number of Pages451
    ID Numbers
    Open LibraryOL27085845M
    ISBN 101447111443, 1447104471
    ISBN 109781447111443, 9781447104476
    OCLC/WorldCa853263177

    Robust Control Design Using H- Methods by Ian Petersen, Valery A Ugrinovskii, Andrey V Savkin starting at $ Robust Control Design Using H- Methods has 2 available editions to buy at Half Price Books Marketplace. CONTENTS xi 9 Robust Adaptive Control Schemes Introduction Robust Identiflers and Adaptive.

    Advanced Control Design with Application to Electromechanical Systems represents the continuing effort in the pursuit of analytic theory and rigorous design for robust control book provides an overview of the feedback control systems and their associated definitions, with discussions on finite dimension vector spaces, mappings and convex analysis. In book: Robust Control, Theory and Applications. This method requires the use of a computer, elaborate techniques of controller design using the root locus are available in most control.

    Introduction to Mobile Robot Control provides a complete and concise study of modeling, control, and navigation methods for wheeled non-holonomic and omnidirectional mobile robots and manipulators. The book begins with a study of mobile robot drives and corresponding kinematic and dynamic models, and discusses the sensors used in mobile robotics.   Robust Control Design with MATLAB helps you learn how to use well-developed advanced robust control design methods in practical cases. Several design examples ranging from teaching-laboratory experiments, such as a mass?damperspring assembly, to complex systems like a liquid-propellant launch vehicle controller are detailed.4/5(1).


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Robust Control Design Using H-∞%x; Methods by Ian R. Petersen Download PDF EPUB FB2

Robust Control Design with MATLAB® (second edition) helps the student to learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples from teaching-laboratory experiments, such as a two-wheeled, self-balancing robot, to complex systems like a flexible-link Brand: Springer-Verlag London.

Methods Online ePub/PDF/Audible/Kindle, its easy way to streaming Robust Control Design Using H. Methods books for multiple devices. Robust Control Design Using H. Methods was written by best authors whom known as an author and have wrote many interesting books with great story telling.

Robust Control Design Using H. Methods was one of the. Robust Control Design Using H-∞ Methods. Authors (view affiliations) Ian R. Petersen; Valery A. Ugrinovskii; Andrey V. Savkin; Book. Citations; k Downloads; Part of the Communications and Control Engineering book series (CCE) Log in to check access.

Buy eBook. USD Instant download; Readable on all devices; Own it forever. Book reviews: Robust control design using H∞ methods Article in Automatica 38(11) November with 18 Reads How we measure 'reads'.

Comprehensive and accessible guide to the three main approaches to robust control design and its applications Optimal control is a mathematical field that is concerned with control policies that can be deduced using optimization algorithms.

The optimal control approach to robust control design differs from conventional direct approaches to robust control that are more commonly discussed by. 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. Robust Control Design with MATLAB ® (second edition) helps the student to learn how to use well-developed advanced robust control design methods in practical cases.

To this end, several realistic control design examples from teaching-laboratory experiments, such as a two-wheeled, self-balancing robot, to complex systems like a flexible-link manipulator are given detailed presentation.

Robust Control Design with MATLAB® helps you learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples ranging from teaching-laboratory experiments, such as a mass–damper–spring assembly, to complex systems like a flexible-link manipulator are given.

Modeling and identification are necessary for the design of modern robust control s modeling and identification methods for piezoelectric systems have been investigated [20–23].To design a robust optimal H ∞ controller, time-invariant linear dynamics is used to represent the main dynamics of the PZT stacks.

Also, the unmodeled dynamics is represented by an input uncertainty. The idea behind robust design is to improve the quality of a product by minimizing the effects of variation without eliminating the causes (since they are too difficult or too expensive to conrol).

His method is an off-line quality control method that is instituted at both the product and process design stage to improve product.

Polynomial Methods for Robust Control by Didier Henrion - LAAS-CNRS This is a course for graduate students with a background in linear control systems and convex optimization. It focuses on the use of polynomials and polynomial matrices for the analysis and design of linear systems affected by parametric uncertainty.

( views). Robust Control Design Using H_infinity Methods (Communications and Control Engineering Series) Ian R. Petersen, Valery A. Ugrinovskii, Andrey V. Savkin This is a unified collection of important recent results for the design of robust controllers for uncertain systems, primarily based on H8 control theory or its stochastic counterpart, risk.

Robust control of stochastic uncertain systems Nonlinear versus linear control Missile autopilot design via minimax optimal control of stochastic uncertain systems Robust control of acoustic noise in a duct via minimax optimal LQG control --A. Basic duality relationships for relative entropy --B.

Metrically transitive. Robust control methods seek to bound the uncertainty rather than express it in the form of a distribution. Given a bound on the uncertainty, the control can deliver results that meet the control system requirements in all cases.

Therefore robust control theory might be stated as a worst-case analysis method rather than a typical case method. This book presents advances in the theory and design of robust nonlinear control systems.

In the first part of the book, the authors provide a unified framework for state-space and Lyapunov techniques by combining concepts from set-valued analysis, Lyapunov stability theory, and game theory.

Robust Control Design with MATLAB (second edition) helps the student to learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples from teaching-laboratory experiments, such as a two-wheeled, self-balancing robot, to complex systems like a flexible-link manipulator are given detailed presentation.

A robust iterative learning control (ILC) scheme for batch processes with uncertain perturbations and initial conditions is developed.

The proposed ILC design is transformed into a robust control design of a 2‐D Fornasini–Marchsini model with uncertain parameter perturbations. In control theory, robust control is an approach to controller design that explicitly deals with uncertainty. Robust control methods are designed to function properly provided that uncertain parameters or disturbances are found within some (typically compact) methods aim to achieve robust performance and/or stability in the presence of bounded modelling errors.

This book presents advances in the theory and design of robust nonlinear control systems. In the first part of the book, the authors provide a unified framework for state-space and Lyapunov techniques by combining concepts from set-valued analysis, Lyapunov stability theory, and game theory.

Within this unified framework, the authors then develop a variety of control design methods suitable. Robust Control Design Using H Methods (Communications and Control Engineering Series) [Petersen, Ian R., Ugrinovskii, Valery A., Savkin, Andrey V.] on *FREE* shipping on qualifying offers.

Robust Control Design Using H Methods (Communications and Control. Get this from a library! Robust Control Design Using H-∞ Methods. [Ian R Petersen; Valery A Ugrinovskii; Andrey V Savkin] -- 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.This paper discusses H∞ approach by specifically taking into account modelling uncertainty, and doing so in a worst-case sense, allow complex control design problems to be solved in a theoretically rigorous way while guaranteeing robustness of the implemented solutions over a pre-specified range of model incorrectness or (equivalently) of process variability.

Robust Control Design: An Optimal Control Approach offers a complete presentation of this approach to robust control design, presenting modern control theory in an concise manner. The other two major approaches to robust control design, the H_infinite approach and the Kharitonov approach, are also covered and described in the simplest terms.