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Control of Uncertain Systems: Modelling, Approximation, and Design

Control of Uncertain Systems: Modelling, Approximation, and Design
Author: Bruce A. Francis
Publisher: Taylor & Francis
Total Pages: 452
Release: 2006-03-07
Genre: Language Arts & Disciplines
ISBN: 9783540317548

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This Festschrift contains a collection of articles by friends, co-authors, colleagues, and former Ph.D. students of Keith Glover, Professor of Engineering at the University of Cambridge, on the occasion of his sixtieth birthday. Professor Glover's scientific work spans a wide variety of topics, the main themes being system identification, model reduction and approximation, robust controller synthesis, and control of aircraft and engines. The articles in this volume are a tribute to Professor Glover's seminal work in these areas.


Control of Uncertain Systems: Modelling, Approximation, and Design

Control of Uncertain Systems: Modelling, Approximation, and Design
Author: Bruce A. Francis
Publisher: Springer
Total Pages: 431
Release: 2009-09-02
Genre: Technology & Engineering
ISBN: 9783540820031

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This is a collection of articles by friends, co-authors, colleagues, and students of Keith Glover, Professor of Engineering at the University of Cambridge, on the occasion of his 60th birthday. Professor Glover's work spans a variety of topics, including system identification, model reduction and approximation, robust controller synthesis, and control of aircraft and engines. The collection is a tribute to Professor Glover's seminal work in these areas.


Robust Control of Uncertain Dynamic Systems

Robust Control of Uncertain Dynamic Systems
Author: Rama K. Yedavalli
Publisher: Springer Science & Business Media
Total Pages: 217
Release: 2013-12-05
Genre: Technology & Engineering
ISBN: 1461491320

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This textbook aims to provide a clear understanding of the various tools of analysis and design for robust stability and performance of uncertain dynamic systems. In model-based control design and analysis, mathematical models can never completely represent the “real world” system that is being modeled, and thus it is imperative to incorporate and accommodate a level of uncertainty into the models. This book directly addresses these issues from a deterministic uncertainty viewpoint and focuses on the interval parameter characterization of uncertain systems. Various tools of analysis and design are presented in a consolidated manner. This volume fills a current gap in published works by explicitly addressing the subject of control of dynamic systems from linear state space framework, namely using a time-domain, matrix-theory based approach. This book also: Presents and formulates the robustness problem in a linear state space model framework. Illustrates various systems level methodologies with examples and applications drawn from aerospace, electrical and mechanical engineering. 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.


Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics

Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics
Author: Jing Na
Publisher: Academic Press
Total Pages: 336
Release: 2018-06-12
Genre: Technology & Engineering
ISBN: 0128136847

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Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems with nonsmooth dynamics (e.g., backlash, dead zone, friction, saturation, etc). The authors present recent research results for the modelling and control designs of uncertain systems with nonsmooth dynamics, such as friction, dead-zone, saturation and hysteresis, etc., with particular applications in servo systems. The book is organized into 19 chapters, distributed in five parts concerning the four types of nonsmooth characteristics, namely friction, dead-zone, saturation and hysteresis, respectively. Practical experiments are also included to validate and exemplify the proposed approaches. This valuable resource can help both researchers and practitioners to learn and understand nonlinear adaptive control designs. Academics, engineers and graduate students in the fields of electrical engineering, control systems, mechanical engineering, applied mathematics and computer science can benefit from the book. It can be also used as a reference book on adaptive control for servo systems for students with some background in control engineering. Explains the latest research outputs on modeling, identification and adaptive control for systems with nonsmooth dynamics Provides practical application and experimental results for robotic systems, and servo motors


Control of Uncertain Systems with Bounded Inputs

Control of Uncertain Systems with Bounded Inputs
Author: Sophie Tarbouriech
Publisher: Springer
Total Pages: 186
Release: 2014-03-12
Genre: Technology & Engineering
ISBN: 9783662176528

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In practical control problems, many constraints have to be handled in order to design controllers which operate in a real environment. By combining results on robust control and saturating control, this book attempts to provide positive help for practical situations and, as one of the first books to merge the two control fields, it should generate considerable interest in scientific/acad emic circles. The ten chapters, which deal with stabilization and control of both linear and nonlinear systems, are each independent in their approach - some deal purely with theoretical results whilst others concentrate on ways in which the theory can be applied. The book's unity is secured by the desire to formulate control design requirements through constraints on input and model uncertainty description.


New Trends in Optimal Filtering and Control for Polynomial and Time-Delay Systems

New Trends in Optimal Filtering and Control for Polynomial and Time-Delay Systems
Author: Michael Basin
Publisher: Springer
Total Pages: 228
Release: 2008-09-18
Genre: Technology & Engineering
ISBN: 3540708030

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0. 1 Introduction Although the general optimal solution of the ?ltering problem for nonlinear state and observation equations confused with white Gaussian noises is given by the Kushner equation for the conditional density of an unobserved state with respect to obser- tions (see [48] or [41], Theorem 6. 5, formula (6. 79) or [70], Subsection 5. 10. 5, formula (5. 10. 23)), there are a very few known examples of nonlinear systems where the Ku- ner equation can be reduced to a ?nite-dimensional closed system of ?ltering eq- tions for a certain number of lower conditional moments. The most famous result, the Kalman-Bucy ?lter [42], is related to the case of linear state and observation equations, where only two moments, the estimate itself and its variance, form a closed system of ?ltering equations. However, the optimal nonlinear ?nite-dimensional ?lter can be - tained in some other cases, if, for example, the state vector can take only a ?nite number of admissible states [91] or if the observation equation is linear and the drift term in the 2 2 state equation satis?es the Riccati equation df /dx + f = x (see [15]). The complete classi?cation of the “general situation” cases (this means that there are no special - sumptions on the structure of state and observation equations and the initial conditions), where the optimal nonlinear ?nite-dimensional ?lter exists, is given in [95].


Advances in Control Theory and Applications

Advances in Control Theory and Applications
Author: Claudio Bonivento
Publisher: Springer
Total Pages: 310
Release: 2007-06-04
Genre: Technology & Engineering
ISBN: 3540707018

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This volume is the outcome of the first CASY workshop on "Advances in Control Theory and Applications" which was held at University of Bologna on May 22-26, 2006. It consists of selected contributions by some of the invited speakers and contains recent results in control. The volume is intended for engineers, researchers, and students in control engineering.


Applications of Time Delay Systems

Applications of Time Delay Systems
Author: John Chiasson
Publisher: Springer
Total Pages: 355
Release: 2007-04-16
Genre: Technology & Engineering
ISBN: 3540495568

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This book provides an update of the latest research in control of time delay systems and applications by world leading experts. It will appeal to engineers, researchers and students in Control.


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.


Adaptive Backstepping Control of Uncertain Systems

Adaptive Backstepping Control of Uncertain Systems
Author: Jing Zhou
Publisher: Springer Science & Business Media
Total Pages: 246
Release: 2008-02-07
Genre: Technology & Engineering
ISBN: 3540778063

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This book employs the powerful and popular adaptive backstepping control technology to design controllers for dynamic uncertain systems with non-smooth nonlinearities. Various cases including systems with time-varying parameters, multi-inputs and multi-outputs, backlash, dead-zone, hysteresis and saturation are considered in design and analysis. For multi-inputs and multi-outputs systems, both centralized and decentralized controls are addressed. This book not only presents recent research results including theoretical success and practical development such as the proof of system stability and the improvement of system tracking and transient performance, but also gives self-contained coverage of fundamentals on the backstepping approach illustrated with simple examples. Detail description of methodologies for the construction of adaptive laws, feedback control laws and associated Lyapunov functions is systematically provided in each case. Approaches used for the analysis of system stability and tracking and transient performances are elaborated. Two case studies are presented to show how the presented theories are applied.