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This textbook offers a concise yet rigorous introduction to calculus of variations and optimal control theory, and is a self-contained resource for graduate students in engineering, applied mathematics, and related subjects. Designed specifically for a one-semester course, the book begins with calculus of variations, preparing the ground for optimal control. It then gives a complete proof of the maximum principle and covers key topics such as the Hamilton-Jacobi-Bellman theory of dynamic programming and linear-quadratic optimal control. Calculus of Variations and Optimal Control Theory also traces the historical development of the subject and features numerous exercises, notes and references at the end of each chapter, and suggestions for further study. Offers a concise yet rigorous introduction Requires limited background in control theory or advanced mathematics Provides a complete proof of the maximum principle Uses consistent notation in the exposition of classical and modern topics Traces the historical development of the subject Solutions manual (available only to teachers) Leading universities that have adopted this book include: University of Illinois at Urbana-Champaign ECE 553: Optimum Control Systems Georgia Institute of Technology ECE 6553: Optimal Control and Optimization University of Pennsylvania ESE 680: Optimal Control Theory University of Notre Dame EE 60565: Optimal Control
Calculus of variations. --- Control theory. --- Variationsrechnung. --- Optimale Kontrolle. --- Optimale Steuerung --- Optimalsteuerung --- Optimal control --- Kontrolltheorie --- Extremalaufgabe --- Variationsmethode --- Analysis --- Dynamics --- Machine theory --- Isoperimetrical problems --- Variations, Calculus of --- Maxima and minima
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A. Blaquière: Quelques aspects géométriques des processus optimaux.- C. Castaing: Quelques problèmes de mesurabilité liés à la théorie des commandes.- L. Cesari: Existence theorems for Lagrange and Pontryagin problems of the calculus of variations and optimal control of more-dimensional extensions in Sobolev space.- H. Halkin: Optimal control as programming in infinite dimensional spaces.- C. Olech: The range of integrals of a certain class vector-valued functions.- E. Rothe: Weak topology and calculus of variations.- E.O. Roxin: Problems about the set of attainability.
Calculus of variations -- Congresses. --- Calculus of variations -- Research. --- Civil & Environmental Engineering --- Mathematics --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Operations Research --- Calculus --- Mathematics. --- Calculus of variations. --- Calculus of Variations and Optimal Control; Optimization. --- Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Isoperimetrical problems --- Variations, Calculus of
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Current industrial practice knows many optimization tasks that can be cast as mixed-integer optimal control problems. Due to the combinatorial character of these problems, the computation of optimal solutions under real-time constraints is still a demanding challenge. Starting with Bock's direct multiple shooting method for optimal control, Christian Kirches develops a fast numerical algorithm of wide applicability that efficiently solves mixed-integer nonlinear optimal control problems. He uses convexification and relaxation techniques to obtain computationally tractable reformulations for which feasibility and optimality certificates can be given even after discretization and rounding. In a sequential quadratic programming framework, extensive exploitation of arising structures in an active set method ultimately brings the developed algorithm towards real-time feasibility.
Computer science. --- Nonlinear control theory. --- Non-linear optimization. --- Numerical method. --- Optimal control. --- Engineering & Applied Sciences --- Computer Science --- Computer simulation. --- Mathematics. --- Computer Science. --- Simulation and Modeling. --- Mathematics, general. --- Control theory --- Nonlinear theories --- Math --- Science --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing
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H. Busemann: The synthetic approach to Finsler spaces in the large.- E.T. Davies: Vedute generali sugli spazi variazionali.- D. Laugwitz: Geometrical methods in the differential geometry of Finsler spaces.- V.V. Wagner: Geometria del calcolo delle variazioni.
Calculus. --- Calculus of tensors. --- Geometry, Analytic. --- Geometry, Differential. --- Mathematics --- Physical Sciences & Mathematics --- Geometry --- Geometry. --- Analysis (Mathematics) --- Fluxions (Mathematics) --- Infinitesimal calculus --- Limits (Mathematics) --- Mathematics. --- Differential geometry. --- Calculus of variations. --- Differential Geometry. --- Calculus of Variations and Optimal Control; Optimization. --- Mathematical analysis --- Functions --- Geometry, Infinitesimal --- Euclid's Elements --- Global differential geometry. --- Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Geometry, Differential --- Differential geometry --- Isoperimetrical problems --- Variations, Calculus of
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A. Balakrishnan: A constructive approach to optimal control.- R. Glowinski: Méthodes itératives duales pour la minimisation de fonctionnelles convexes.- J.L. Lions: Approximation numérique des inéquations d’évolution.- G. Marchuk: Introduction to the methods of numerical analysis.- U. Mosco: An introduction to the approximate solution of variational inequalities.- I. Singer: Best approximation in normed linear spaces.- G. Strang: A Fourier analysis of the finite element variational method.- M. Zerner: Caractéristiques d’approximation des compacts dans les espaces fonctionnels et problèmes aux limites elliptiques.
Functional analysis. --- Mathematical optimization. --- Nonlinear programming. --- Civil & Environmental Engineering --- Mathematics --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Operations Research --- Calculus --- Functional calculus --- Mathematics. --- Calculus of variations. --- Calculus of Variations and Optimal Control; Optimization. --- Functional Analysis. --- Calculus of variations --- Functional equations --- Integral equations --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Isoperimetrical problems --- Variations, Calculus of
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Variational methods give an efficient and elegant way to formulate and solve mathematical problems that are of interest to scientists and engineers. In this book three fundamental aspects of the variational formulation of mechanics will be presented: physical, mathematical and applicative ones. The first aspect concerns the investigation of the nature of real physical problems with the aim of finding the best variational formulation suitable to those problems. The second aspect is the study of the well-posedeness of those mathematical problems which need to be solved in order to draw previsions from the formulated models. And the third aspect is related to the direct application of variational analysis to solve real engineering problems.
Fluid mechanics. --- Solids. --- Engineering. --- Calculus of variations. --- Mechanics. --- Mechanics, Applied. --- Theoretical and Applied Mechanics. --- Calculus of Variations and Optimal Control; Optimization. --- Solid state physics --- Transparent solids --- Hydromechanics --- Continuum mechanics --- Mechanics, applied. --- Mathematical optimization. --- Classical Mechanics. --- Classical mechanics --- Newtonian mechanics --- Physics --- Dynamics --- Quantum theory --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Applied mechanics --- Engineering, Mechanical --- Engineering mathematics --- Isoperimetrical problems --- Variations, Calculus of
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Structurally Constrained Controllers: Analysis and Synthesis studies the control of interconnected systems, with a particular emphasis placed on networks, power systems and flight formations, to name just a few. This volume introduces four important problems regarding the control of such systems, and then proposes emerging techniques for solving them and insuring optimum system operation. This book also: Explains and investigates recent cutting edge applications including such topics as formation flying Offers complete coverage of robust control in structurally constrained controllers Discusses the performance evaluation of decentralized controllers Shows how to use new LMI method to solve traditional constrained control problems Structurally Constrained Controllers: Analysis and Synthesis is a must-read book for researchers and engineers working in the control field.
Engineering. --- Mathematical optimization. --- Systems theory. --- Vibration. --- Electric controllers --- Civil & Environmental Engineering --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Civil Engineering --- Electrical Engineering --- Large scale systems. --- Systems, Large scale --- System theory. --- Calculus of variations. --- Dynamical systems. --- Dynamics. --- Vibration, Dynamical Systems, Control. --- Systems Theory, Control. --- Calculus of Variations and Optimal Control; Optimization. --- Engineering systems --- System analysis --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- Cycles --- Mechanics --- Sound --- Isoperimetrical problems --- Variations, Calculus of --- Systems, Theory of --- Systems science --- Science --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Philosophy
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Nonconvex Optimization is a multi-disciplinary research field that deals with the characterization and computation of local/global minima/maxima of nonlinear, nonconvex, nonsmooth, discrete and continuous functions. Nonconvex optimization problems are frequently encountered in modeling real world systems for a very broad range of applications including engineering, mathematical economics, management science, financial engineering, and social science. This contributed volume consists of selected contributions from the Advanced Training Programme on Nonconvex Optimization and Its Applications held at Banaras Hindu University in March 2009. It aims to bring together new concepts, theoretical developments, and applications from these researchers. Both theoretical and applied articles are contained in this volume which adds to the state of the art research in this field. Topics in Nonconvex Optimization is suitable for advanced graduate students and researchers in this area. .
Mathematics. --- Nonsmooth optimization. --- Quasidifferential calculus. --- Nonconvex programming --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research --- Mathematical optimization. --- Nonconvex programming. --- Convex functions. --- Global optimization --- Non-convex programming --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Functions, Convex --- Calculus of variations. --- Operations research. --- Management science. --- Operations Research, Management Science. --- Optimization. --- Calculus of Variations and Optimal Control; Optimization. --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Functions of real variables --- Programming (Mathematics) --- Isoperimetrical problems --- Variations, Calculus of --- Quantitative business analysis --- Management --- Problem solving --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory
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Semilinear elliptic equations are of fundamental importance for the study of geometry, physics, mechanics, engineering and life sciences. The variational approach to these equations has experienced spectacular success in recent years, reaching a high level of complexity and refinement, with a multitude of applications. Additionally, some of the simplest variational methods are evolving as classical tools in the field of nonlinear differential equations. This book is an introduction to variational methods and their applications to semilinear elliptic problems. Providing a comprehensive overview on the subject, this book will support both student and teacher engaged in a first course in nonlinear elliptic equations. The material is introduced gradually, and in some cases redundancy is added to stress the fundamental steps in theory-building. Topics include differential calculus for functionals, linear theory, and existence theorems by minimization techniques and min-max procedures. Requiring a basic knowledge of Analysis, Functional Analysis and the most common function spaces, such as Lebesgue and Sobolev spaces, this book will be of primary use to graduate students based in the field of nonlinear partial differential equations. It will also serve as valuable reading for final year undergraduates seeking to learn about basic working tools from variational methods and the management of certain types of nonlinear problems.
Partial differential equations --- Mathematical analysis --- differentiaalvergelijkingen --- analyse (wiskunde) --- Differential equations, Elliptic --- Equations différentielles elliptiques --- Analyse mathématique --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B --- Global analysis (Mathematics). --- Differential equations, partial. --- Mathematical optimization. --- Analysis. --- Partial Differential Equations. --- Calculus of Variations and Optimal Control; Optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Analysis, Global (Mathematics) --- Differential topology --- Functions of complex variables --- Geometry, Algebraic --- Mathematical analysis. --- Analysis (Mathematics). --- Partial differential equations. --- Calculus of variations. --- Isoperimetrical problems --- Variations, Calculus of --- 517.1 Mathematical analysis --- Mathematics --- Global analysis (Mathematics) --- Differential equations, Partial
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This book presents a largely self-contained account of the main results of convex analysis, monotone operator theory, and the theory of nonexpansive operators in the context of Hilbert spaces. Unlike existing literature, the novelty of this book, and indeed its central theme, is the tight interplay among the key notions of convexity, monotonicity, and nonexpansiveness. The presentation is accessible to a broad audience and attempts to reach out in particular to the applied sciences and engineering communities, where these tools have become indispensable. Graduate students and researchers in pure and applied mathematics will benefit from this book. It is also directed to researchers in engineering, decision sciences, economics, and inverse problems, and can serve as a reference book. Author Information: Heinz H. Bauschke is a Professor of Mathematics at the University of British Columbia, Okanagan campus (UBCO) and currently a Canada Research Chair in Convex Analysis and Optimization. He was born in Frankfurt where he received his "Diplom-Mathematiker (mit Auszeichnung)" from Goethe Universität in 1990. He defended his Ph.D. thesis in Mathematics at Simon Fraser University in 1996 and was awarded the Governor General's Gold Medal for his graduate work. After a NSERC Postdoctoral Fellowship spent at the University of Waterloo, at the Pennsylvania State University, and at the University of California at Santa Barbara, Dr. Bauschke became College Professor at Okanagan University College in 1998. He joined the University of Guelph in 2001, and he returned to Kelowna in 2005, when Okanagan University College turned into UBCO. In 2009, he became UBCO's first "Researcher of the Year". Patrick L. Combettes received the Brevet d'Études du Premier Cycle from Académie de Versailles in 1977 and the Ph.D. degree from North Carolina State University in 1989. In 1990, he joined the City College and the Graduate Center of the City University of New York where he became a Full Professor in 1999. Since 1999, he has been with the Faculty of Mathematics of Université Pierre et Marie Curie -- Paris 6, laboratoire Jacques-Louis Lions, where he is presently a Professeur de Classe Exceptionnelle. He was elected Fellow of the IEEE in 2005.
Numerical methods of optimisation --- Computer science --- Computer architecture. Operating systems --- visualisatie --- algoritmen --- kansrekening --- optimalisatie --- Hilbert space --- Nonlinear functional analysis --- Monotone operators --- Espace de Hilbert --- Analyse fonctionnelle non linéaire --- Opérateurs monotones --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B --- Hilbert space. --- Approximation theory. --- Monotone operators. --- Nonlinear functional analysis. --- Functional analysis --- Nonlinear theories --- Operator theory --- Theory of approximation --- Functions --- Polynomials --- Chebyshev systems --- Banach spaces --- Hyperspace --- Inner product spaces --- Approximation theory --- Calculus of variations. --- Algorithms. --- Mathematics. --- Visualization. --- Calculus of Variations and Optimal Control; Optimization. --- Math --- Science --- Isoperimetrical problems --- Variations, Calculus of --- Maxima and minima --- Visualisation --- Imagination --- Visual perception --- Imagery (Psychology) --- Algorism --- Algebra --- Arithmetic --- Foundations
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