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Book
Automotive model predictive control : models, methods and applications.
Authors: --- --- --- ---
ISBN: 9781849960717 9781849960700 Year: 2010 Publisher: Berlin Springer

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Abstract

Automotive control has developed over the decades from an auxiliary te- nology to a key element without which the actual performances, emission, safety and consumption targets could not be met. Accordingly, automotive control has been increasing its authority and responsibility - at the price of complexity and di?cult tuning. The progressive evolution has been mainly ledby speci?capplicationsandshorttermtargets,withthe consequencethat automotive control is to a very large extent more heuristic than systematic. Product requirements are still increasing and new challenges are coming from potentially huge markets like India and China, and against this ba- ground there is wide consensus both in the industry and academia that the current state is not satisfactory. Model-based control could be an approach to improve performance while reducing development and tuning times and possibly costs. Model predictive control is a kind of model-based control design approach which has experienced a growing success since the middle of the 1980s for slow  complex plants, in particular of the chemical and process industry. In the last decades, severaldevelopments haveallowedusing these methods also for fast systemsandthis hassupporteda growinginterestinitsusealsofor automotive applications, with several promising results reported. Still there is no consensus on whether model predictive control with its high requi- ments on model quality and on computational power is a sensible choice for automotive control.


Book
Elementary feedback stabilization of the linear reaction-convection-diffusion equation and the wave equation
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ISBN: 9783642046131 9783642046124 3642046126 Year: 2009 Publisher: New York (N.Y.) : Springer,

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Mathematical control theory of applied partial differential equations is built on linear andnonlinearfunctionalanalysisand manyexistencetheoremsin controlt- ory result from applications of theorems in functional analysis. This makes control theoryinaccessibleto studentswhodo nothave a backgroundin functionalanalysis. Many advanced control theory books on in?nite-dimensionalsystems were wr- ten, using functional analysis and semigroup theory, and control theory was p- sented in an abstract setting. This motivates me to write this text for control theory classes in the way to present control theory by concrete examples and try to m- imize the use of functional analysis. Functional analysis is not assumed and any analysis included here is elementary, using calculus such as integration by parts. The material presented in this text is just a simpli?cation of the material from the existing advanced control books. Thus this text is accessible to senior undergra- ate studentsand?rst-yeargraduatestudentsin appliedmathematics,who havetaken linear algebra and ordinary and partial differential equations. Elementary functional analysis is presented in Chapter 2. This material is - quired to present the control theory of partial differential equations. Since many control conceptsand theories for partial differentialequations are transplanted from ?nite-dimensionalcontrol systems, a brief introduction to feedback control of these systemsispresentedinChapter3.Thetopicscoveredinthischapterincludecontr- lability, observability,stabilizability, pole placement, and quadratic optimal control.


Book
Analysis and control of nonlinear systems : a flatness-based approach
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ISBN: 9783642008399 9783642008382 3642008380 Year: 2009 Publisher: Berlin ; London : Springer,

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This is the first book on a hot topic in the field of control of nonlinear systems. It ranges from mathematical system theory to practical industrial control applications and addresses two fundamental questions in Systems and Control: how to plan the motion of a system and track the corresponding trajectory in presence of perturbations. It emphasizes on structural aspects and in particular on a class of systems called differentially flat. Part 1 discusses the mathematical theory and part 2 outlines applications of this method in the fields of electric drives (DC motors and linear synchronous motors), magnetic bearings, automotive equipments, cranes, and automatic flight control systems. The author offers web-based videos illustrating some dynamical aspects and case studies in simulation (Scilab and Matlab).


Book
Feedback and control for everyone
Authors: ---
ISBN: 9783642034466 9783642034855 9783642034459 3642034454 Year: 2010 Publisher: New York: Springer,

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This well structured, intriguing and motivating book presents the basic ideas and understanding of control, signals and systems for readers interested in engineering and science. Through a series of examples that are regularly revisited from different perspectives, the book explores both the theory and the practice of control."Feedback and Control for Everyone" is indeed intended for everyone, but more specifically everyone interested in getting a feel for the role control and feedback play in our environment. Control and feedback are pervasive and are literally found everywhere in our engineered or biological environment. The book focuses on the main ideas and opens the scientific mind to feedback, control and systems dynamics. The exposition of ideas does not assume any mathematical knowledge beyond what typically is taught at an intermediate mathematics level at high school. Appealing to examples and intuition, the authors guide the reader to the essential ingredients to describe, analyze and synthesize successfully feedback. Each chapter ends with comments and references that enable the interested reader to explore the exposed subject material in a deeper manner. "Feedback and Control for Everyone" is written for: * understanding basic concepts on systems dynamics and control * realizing the strong connection between technical and human/social dynamics * motivating further reading and study about control systems * showing the power of abstraction to infer properties of complex systems based on simplified mathematical models * emphasizing the interplay between communication, computers and control in this Digital Era * creating bridges among different sciences and technologies such as engineering, physics, biology, biochemistry, or systems dynamics. Credits: the Cover Illustration and Heading chapters were designed by Arturo Mora (www.cut-out.es)


Book
Control of complex systems : structural constraints und uncertainty
Authors: ---
ISBN: 9781441912169 9781441912152 1441912150 Year: 2010 Publisher: New York: Springer,

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Control of Complex Systems: Structural Constraints and Uncertainty focuses on control design under information structure constraints, with a particular emphasis on large-scale systems. The complexity of such systems poses serious computational challenges and severely restricts the types of feedback laws that can be used in practice. This book systematically addresses the main issues, and provides a number of applications that illustrate potential design methods, most which use Linear Matrix Inequalities (LMIs), which have become a popular design tool over the past two decades. Authors Aleksandar I. Zecevic and Dragoslav D. Siljak use their years of experience in the control field to also: Address the issues of large-scale systems as they relate to robust control and linear matrix inequalities Discuss a new approach to applying standard LMI techniques to large-scale systems, combining graphic-theoretic decomposition techniques with appropriate low-rank numerical approximations and dramatically reducing the computational effort Providing numerous examples and a wide variety of applications, ranging from electric power systems and nonlinear circuits to mechanical problems and dynamic Boolean networks Control of Complex Systems: Structural Constraints and Uncertainty will appeal to practicing engineers, researchers and students working in control design and other related areas. 


Book
Perspectives in mathematical system theory, control, and signal processing : a festschrift in honor of Yutaka Yamamoto on the occasion of his 60th birthday
Authors: ---
ISBN: 9783540939184 9783540939177 3540939172 Year: 2010 Volume: 398 Publisher: New York: Springer,

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This Festschrift, published on the occasion of the sixtieth birthday of Yutaka - mamoto ( ˜YY' as he is occasionally casually referred to), contains a collection of articles by friends, colleagues, and former Ph.D. students of YY. They are a tribute to his friendship and his scienti?c vision and oeuvre, which has been a source of inspiration to the authors. Yutaka Yamamoto was born in Kyoto, Japan, on March 29, 1950. He studied applied mathematics and general engineering science at the Department of Applied Mathematics and Physics of Kyoto University, obtaining the B.S. and M.Sc. degrees in 1972 and 1974. His M.Sc. work was done under the supervision of Professor Yoshikazu Sawaragi. In 1974, he went to the Center for Mathematical System T- ory of the University of Florida in Gainesville. He obtained the M.Sc. and Ph.D. degrees, both in Mathematics, in 1976 and 1978, under the direction of Professor Rudolf Kalman.


Book
Induction Motor Control Design
Authors: --- --- ---
ISBN: 9781849962841 9781849962834 9781447157083 9781849962858 Year: 2010 Publisher: London Springer London

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Nonlinear and Adaptive Control Design for Induction Motors is a unified exposition of the most important steps and concerns in the design of estimation and control algorithms for induction motors. A single notation and modern nonlinear control terminology is used to make the book accessible to readers who are not experts in electric motors at the same time as giving a more theoretical control viewpoint to those who are. In order to increase readability, the book concentrates on the induction motor, eschewing the much more complex and less-well-understood control of asynchronous motors. The concepts of stability and nonlinear control theory are presented in appendices. Important features of the book include: ¢ thorough coverage of speed sensorless control, important for applications; ¢ a wide-ranging discussion of nonlinear adaptive controls containing parameter estimation algorithms; ¢ coverage of the design of adaptive observers and parameter estimators which can complement state feedback design techniques; ¢ comparative simulations of different control algorithms on the same motor to clarify the advantages and drawbacks of each. The content is organized in a pedagogical, progressive exposition starting from basic assumptions, structural properties, modelling, state feedback control and estimation algorithms, and moving on to more complex output feedback control algorithms and modelling for speed sensorless control. Adaptive output feedback controls are based on stator current measurements, both alone and in connection with rotor speed. The induction motor exhibits many typical and unavoidable nonlinear features and so the material presented in this volume will be of value to engineers engaged in the control of electric motors and to a broader audience interested in nonlinear control design.


Book
Advances in statistical control, algebraic systems theory, and dynamic systems characteristics : a tribute to Michael K. Sain
Authors: --- --- ---
ISBN: 9780817647957 0817647945 9780817647940 9786612924361 1282924362 0817647953 Year: 2008 Publisher: Boston, Mass. : Birkhäuser,

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This volume—dedicated to Michael K. Sain on the occasion of his seventieth birthday—is a collection of chapters covering recent advances in stochastic optimal control theory and algebraic systems theory. Written by experts in their respective fields, the chapters are thematically organized into four parts: * Part I focuses on statistical control theory, where the cost function is viewed as a random variable and performance is shaped through cost cumulants. In this respect, statistical control generalizes linear-quadratic-Gaussian and H-infinity control. * Part II addresses algebraic systems theory, reviewing the use of algebraic systems over semirings, modules of zeros for linear multivariable systems, and zeros in linear time-delay systems. * Part III discusses advances in dynamical systems characteristics. The chapters focus on the stability of a discontinuous dynamical system, approximate decentralized fixed modes, direct optimal adaptive control, and stability of nonlinear systems with limited information. * Part IV covers engineering education and includes a unique chapter on theology and engineering, one of Sain's latest research interests. The book will be a useful reference for researchers and graduate students in systems and control, algebraic systems theory, and applied mathematics. Requiring only knowledge of undergraduate-level control and systems theory, the work may be used as a supplementary textbook in a graduate course on optimal control or algebraic systems theory.

Keywords

Mathematics. --- Systems Theory, Control. --- Control, Robotics, Mechatronics. --- Calculus of Variations and Optimal Control; Optimization. --- Applications of Mathematics. --- Game Theory, Economics, Social and Behav. Sciences. --- Dynamical Systems and Ergodic Theory. --- Differentiable dynamical systems. --- Systems theory. --- Mathematical optimization. --- Mathématiques --- Dynamique différentiable --- Optimisation mathématique --- Nonlinear control theory. --- Stochastic control theory. --- System analysis. --- Stochastic control theory --- Nonlinear control theory --- System analysis --- Differentiable dynamical systems --- Civil & Environmental Engineering --- Operations Research --- Engineering & Applied Sciences --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Network theory --- Systems analysis --- Algebra. --- Applied mathematics. --- Engineering mathematics. --- System theory. --- Calculus of variations. --- Probabilities. --- Control engineering. --- Robotics. --- Mechatronics. --- Probability Theory and Stochastic Processes. --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Network analysis --- Network science --- System theory --- Mathematical optimization --- Control theory --- Nonlinear theories --- Stochastic processes --- Distribution (Probability theory. --- Systems, Theory of --- Systems science --- Science --- Math --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- Mathematics --- Philosophy --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Engineering --- Engineering analysis --- Control engineering --- Control equipment --- Engineering instruments --- Programmable controllers --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Isoperimetrical problems --- Variations, Calculus of


Book
Stochastic Control in Discrete and Continuous Time
Author:
ISBN: 0387766162 9780387766164 9780387766171 9786613562036 1280384115 0387766170 Year: 2009 Publisher: New York, NY : Springer US : Imprint: Springer,

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This book provides a comprehensive introduction to stochastic control problems in discrete and continuous time. The material is presented logically, beginning with the discrete-time case before proceeding to the stochastic continuous-time models. Central themes are dynamic programming in discrete time and HJB-equations in continuous time. Topics covered include stochastic maximum principles for discrete time and continuous time, even for problems with terminal conditions. Numerous illustrative examples and exercises, with solutions at the end of the book, are included to enhance the understanding of the reader. By interlinking many fields in stochastic control, the material gives the student the opportunity to see the connections between different fields and the underlying ideas that unify them. This text will benefit students in applied mathematics, economics, engineering, and related fields. Prerequisites include a course in calculus and elementary probability theory. No knowledge of measure theory is assumed.

Mathematical Control Theory : An Introduction
Author:
ISBN: 9780817647339 0817647325 9780817647322 0817647333 0817636455 9780817636456 Year: 2008 Publisher: Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser,

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Mathematical Control Theory: An Introduction presents, in a mathematically precise manner, a unified introduction to deterministic control theory. With the exception of a few more advanced concepts required for the final part of the book, the presentation requires only a knowledge of basic facts from linear algebra, differential equations, and calculus. In addition to classical concepts and ideas, the author covers the stabilization of nonlinear systems using topological methods, realization theory for nonlinear systems, impulsive control and positive systems, the control of rigid bodies, the stabilization of infinite dimensional systems, and the solution of minimum energy problems. The book will be ideal for a beginning graduate course in mathematical control theory, or for self study by professionals needing a complete picture of the mathematical theory that underlies the applications of control theory. "This book is designed as a graduate text on the mathematical theory of deterministic control. It covers a remarkable number of topics...The exposition is excellent, and the book is a joy to read. A novel one-semester course covering both linear and nonlinear systems could be given...The book is an excellent one for introducing a mathematician to control theory." — Bulletin of the AMS "The book is very well written from a mathematical point of view of control theory. The author deserves much credit for bringing out such a book which is a useful and welcome addition to books on the mathematics of control theory." — Control Theory and Advance Technology "At last! We did need an introductory textbook on control which can be read, understood, and enjoyed by anyone." — Gian-Carlo Rota, The Bulletin of Mathematics Books.

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