Last edited by Shaktill
Sunday, July 26, 2020 | History

6 edition of Robust Control of Linear Dynamical Systems found in the catalog.

Robust Control of Linear Dynamical Systems

by P. C. Chandrasekharan

  • 140 Want to read
  • 21 Currently reading

Published by Academic Pr .
Written in English


The Physical Object
Number of Pages341
ID Numbers
Open LibraryOL7326099M
ISBN 100121678857
ISBN 109780121678852

From the Book: PREFACE: The subject of robust control began to receive worldwide attention in the late 's when it was found that Linear Quadratic Optimal Control (optimal control), state feedback through observers, and other prevailing methods of control system synthesis such as Adaptive Control, lacked any guarantees of stability or performance under uncertainty. This paper introduces a notion of distance between nonlinear dynamical systems which is suitable for a quantitative description of the robustness of stability in a feedback interconnection. This notion is one of several possible generalizations of the gap metric, and applies to dynamical systems which possess a differential by: 6.

The main objective of this monograph is to present a broad range of well worked out, recent theoretical and application studies in the field of robust control system analysis and design. The contributions presented here include but are not limited to robust PID, H-infinity, sliding mode, fault tolerant, fuzzy and QFT based control systems. They advance the current progress in the field, and Cited by: 9. The study and practice of manipulating dynamical systems is broadly known as control theory, and it is one of the most successful fields at the interface of applied mathematics and practical engineering. Control theory is inseparable from data science, as it relies on sensor measurements (data) obtained from a system to achieve a given objective.

Belmiloudi A () Nonlinear Robust Control Problems of Parabolic Type Equations with Time-Varying Delays Given in the Integral Form, Journal of Dynamical and Control Systems, , (), Online publication date: 1-Oct Summary Balancing rigorous theory with practical applications, Linear Systems: Optimal and Robust Control explains the concepts behind linear systems, optimal control, and robust control and illustrates these concepts with concrete examples and problems. Developed as a two-course book, this self-contained text first discusses linear systems, including controllability, observability, and matrix.


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Robust Control of Linear Dynamical Systems by P. C. Chandrasekharan Download PDF EPUB FB2

Robust Control of Linear Dynamical Systems is intended to bring these important ideas and techniques to the attention of a wider audience. The author uses a step-by-step approach to guide the reader through this sometimes difficult material. Mathematical rigor is balanced with readability to provide the reader with an easy understanding of the Cited by: Get this from a library.

Robust control of linear dynamical systems. [P C Chandrasekharan] -- "During the past decade, significant advances have taken place in the area of robust control. Unfortunately, many of these developments are scattered in research publications and are accessible only.

[Chandrasekharan96] Chandrasekharan, P., C., Robust Control of Linear Dynamical Systems, Academic Press, Notes: This book attempts to bring the complex techniques for robust control out of research results to the practicing engineer. Of the many books on robust control this appears to.

Recent decades have witnessed enormous strides in the field of robust control of dynamical systems — unfortunately, accounts of many of these developments are scattered in obscure research publications and accessible only to a small group of by: Introduction to robust control: elements of robust control theory; design objectives and specifications; shaping the loop gain; Signals and systems: signals and their norms; computation of H2 norm; computation of H, H norm and associated algebraic relationship; all-pass systems, the adjoint operator; inverse systems.

All control theory methods developed in this book refer to linear systems and the nonlinearity of the original system has to be taken into account indirectly. After having introduced the linearization procedure, we give solution formulas for linear MIMO systems, characterize the stability and calculate the frequency : Uwe Mackenroth.

Provides connections between lyapunov-based matrix approach and the transfer function based polynomial approaches. Robust Control of Uncertain Dynamic Systems: A Linear State Space Approach is an ideal book for first year graduate students taking a course in robust control in aerospace, mechanical, or electrical engineering.

>> READ NOW PDF. This monograph provides an in-depth treatment of the class of linear-dynamical quantum systems. The monograph presents a detailed account of the mathematical modeling of these systems using linear algebra and quantum stochastic calculus as the main tools for a treatment that emphasizes a system-theoretic point of view and the control-theoretic formulations of quantum versions of familiar.

Robust and Adaptive Control shows the reader how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events.

Driven by aerospace applications the focus of the book is primarily on continuous-dynamical systems. The text is a three-part treatment, beginning with robust and optimal linear control methods and moving on to a self-contained Brand: Springer-Verlag London.

Linear Robust Control (Dover Books on Electrical Engineering series) by Michael Green. Recent decades have witnessed enormous strides in the field of robust control of dynamical systems — unfortunately, accounts of many of these developments are scattered in obscure research publications and accessible only to a small group of experts.

"Robust Control Systems" gives a self-contained introduction to modern Control Theory. It thus adds a textbook to the existing research-oriented literature on Robust Control. The author lays emphasis on the modern aspects of the design of controllers with prescribed performance and robustness properties.

Nonlinear Dynamical Systems and Controlpresents and develops an extensive treatment of stability analysis and control design of nonlinear dynamical systems, with.

Robust and Adaptive Control shows the reader how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications the focus of the book is primarily on continuous-dynamical systems.

The text is a three-part treatment, beginning with robust and optimal linear control methods and moving on to a self-contained.

The last thirty years have witnessed an enormous effort in the field of robust control of dynamical systems. The main objective of this book is that of presenting, in a unified framework, the.

A complete and thorough treatment of dissipativity theory, absolute stability theory, stability of feedback systems, optimal control, disturbance rejection control, and robust control for nonlinear dynamical systems is also given. This book is an indispensable resource for applied mathematicians, dynamical systems theorists, control theorists.

The last thirty years have witnessed an enormous effort in the field of robust control of dynamical systems. The main objective of this book is that of presenting in a unified framework, the main.

In this chapter, adaptive gain robust control strategies for uncertain dynamical systems are presented. Firstly, synthesis of centralized adaptive gain robust controllers for a class of uncertain linear systems is shown.

The design problem of the centralized controller is reduced to the constrained convex optimization problem, and allowable perturbation regions of unknown parameters are : Shunya Nagai, Hidetoshi Oya, Tsuyoshi Matsuki, YoshikatsuHoshi.

Robust and Adaptive Control shows the reader how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events.

Driven by aerospace applications the focus of the book is primarily on continuous-dynamical systems. The text is a three-part treatment, beginning with robust and optimal linear control methods and moving on to/5(7). The text is a three-part treatment, beginning with robust and optimal linear control methods and moving on to a self-contained presentation of the design and analysis of model reference adaptive control (MRAC) for nonlinear uncertain dynamical systems/5(7).

Recent decades have witnessed enormous strides in the field of robust control of dynamical systems. This text for students and control engineers provides an in-depth examination of modern advances. edition. Recent decades have witnessed enormous strides in the field of robust control of dynamical systems — unfortunately, many of these developments have only been accessible to a small group of experts.

This text for students and control engineers examines all of these advances, providing an in-depth examination of modern optimal and robust control. edition.Robust Control of Uncertain Dynamic Systems: A Linear State Space Approach is an ideal book for first year graduate students taking a course in robust control .In this paper, new design methods of control systems are proposed based on the ideas, i.e., dual model matching, that for the given plants, appropriate controllers are derived by assigning the model (i.e., dual model) of the characteristic transfer function matrices of the two types stated above.