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Optimal Control (Systems & Control: Foundations & Applications)
 
 
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Optimal Control (Systems & Control: Foundations & Applications) [Hardcover]

Richard Vinter (Author)

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Book Description

0817640754 978-0817640750 May 19, 2000 1st Edition.
“Each chapter contains a well-written introduction and notes. They include the author's deep insights on the subject matter and provide historical comments and guidance to related literature. This book may well become an important milestone in the literature of optimal control." —Mathematical Reviews “Thanks to a great effort to be self-contained, [this book] renders accessibly the subject to a wide audience. Therefore, it is recommended to all researchers and professionals interested in Optimal Control and its engineering and economic applications. It can serve as an excellent textbook for graduate courses in Optimal Control (with special emphasis on Nonsmooth Analysis)." —Automatica

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Editorial Reviews

Review

"The book by R. Vinter is really well written; it goes from the very basic tools in variational analysis, as direct methods and regularity, to the most recent results in dynamic programming. Special attention is devoted to nonsmooth analysis tools…. The book is enriched by many examples: this is a very important point for a reader who wants to approach control theory, and makes the volume suitable not only for specialists but also for students at a Ph.D. level." —Zentralblatt Math "In the book, many major developments in optimal control based on nonsmooth analysis in recent years are brought together in a form accessible to a broader audience…. The book may be an essential resource for potential readers, experts in control and optimization, as well as postgraduates and applied mathematicians, and it will be valued for its accessibility and clear exposition."—Applications of Mathematics "In this self-contained monograph the author brings us right to the frontier of the research on necessary optimality conditions using the methodology of nonsmooth analysis and variational methods. He also presents a new perspective on the regularity of minimizers and discusses some of the recent progress on dynamic programming…. Each chapter contains a well-written introduction and notes. They include the author's deep insights on the subject matter and provide historical comments and guidance to related literature. This book may well become an important milestone in the literature of optimal control." —Mathematical Reviews "This remarkable book presents Optimal Control seen as a natural development of Calculus of Variations so as to deal with the control of engineering devices. This guideline is followed throughout the book and especially in its first chapter "Overview" that summarizes the philosophy, scope and results of this monograph. The main technical feature is the use of Nonsmooth Analysis and most of the attention is focused on necessary conditions for optimality...The book brings together most of recent developments in Optimal Control via Nonsmooth Analysis methods. Thanks to a great effort to be self-contained, it renders accessibly the subject to a wide audience. Therefore, it is recommended to all researchers and professionals interested in Optimal Control and its engineering and economic applications. It can serve as an excellent textbook for graduate courses in Optimal Control (with special emphasis on Nonsmooth Analysis)." —Automatica

From the Back Cover

Optimal Control brings together many of the important advances in 'nonsmooth' optimal control over the last several decades concerning necessary conditions, minimizer regularity, and global optimality conditions associated with the Hamilton–Jacobi equation. The book is largely self-contained and incorporates numerous simplifications and unifying features for the subject’s key concepts and foundations. Features and Topics: * a comprehensive overview is provided for specialists and nonspecialists * authoritative, coherent, and accessible coverage of the role of nonsmooth analysis in investigating minimizing curves for optimal control * chapter coverage of dynamic programming and the regularity of minimizers * explains the necessary conditions for nonconvex problems This book is an excellent presentation of the foundations and applications of nonsmooth optimal control for postgraduates, researchers, and professionals in systems, control, optimization, and applied mathematics. ----- Each chapter contains a well-written introduction and notes. They include the author's deep insights on the subject matter and provide historical comments and guidance to related literature. This book may well become an important milestone in the literature of optimal control.—Mathematical Reviews This remarkable book presents Optimal Control seen as a natural development of Calculus of Variations so as to deal with the control of engineering devices. ... Thanks to a great effort to be self-contained, it renders accessibly the subject to a wide audience. Therefore, it is recommended to all researchers and professionals interested in Optimal Control and its engineering and economic applications. It can serve as an excellent textbook for graduate courses in Optimal Control (with special emphasis on Nonsmooth Analysis). —Automatica The book may be an essential resource for potential readers, experts in control and optimization, as well as postgraduates and applied mathematicians, and it will be valued for its accessibility and clear exposition.—Applications of Mathematics

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Inside This Book (learn more)
First Sentence:
Optimal Control emerged as a distinct field of research in the 1950s, to address in a unified fashion optimization problems arising in scheduling and the control of engineering devices, beyond the reach of traditional analytical and computational techniques. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
limiting subgradients, adjoint arc, strict subdifferential, dualization theorem, neighboring derivatives, nonconvex velocity, nonsmooth necessary conditions, subsequence extraction, limiting subdifferential, strong local minimizer, measurable time dependence, minimizer regularity, pathwise constraints, state constrained problems, unrestrictive hypotheses, proximal normal vectors, limiting normal cone, proximal subgradients, differential equation parameterized, minimizer with respect, underlying time interval, proximal solution, free right endpoint, proximal subdifferential, nondegeneracy hypothesis
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Maximum Principle, Hamilton-Jacobi Equation, Dynamic Programming, Extended Euler-Lagrange Condition, Sum Rule, Extended Hamilton Condition, Tonelli Existence Hypotheses, Gronwall's Inequality, Max Rule, Direct Method, Generalized Tonelli Regularity Theorem, Mean Value Theorem, Compactness of Trajectories Theorem, Ekeland's Variational Principle, Euler Equation, Exact Penalization Theorem, Mean Value Inequality, Generalized Filippov Existence Theorem, Generalized Filippov Selection Theorem, Unmaximized Hamiltonian, Generalized Bolza Problem, Dominated Convergence Theorem, Extended Euler Condition, Relaxation Theorem, Ekeland's Principle
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