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Direct methods in control problems
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Falb, Peter.
Direct methods in control problems
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Direct methods in control problemsby Peter Falb.
作者:
Falb, Peter.
出版者:
New York, NY :Springer New York :2019.
面頁冊數:
x, 314 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Control theory.
電子資源:
https://doi.org/10.1007/978-0-8176-4723-0
ISBN:
9780817647230$q(electronic bk.)
Direct methods in control problems
Falb, Peter.
Direct methods in control problems
[electronic resource] /by Peter Falb. - New York, NY :Springer New York :2019. - x, 314 p. :ill., digital ;24 cm.
Part I. Introduction -- Introductory Remarks -- Historical Perspective -- Outline of Contents -- Part II. Problem Statement -- Deterministic Systems -- Stochastic Systems -- General Problem -- Part III. The Direct Method Approach: Generalities -- General Approach -- Gradient and Integration Methods -- Representation Methods -- Part IV. Gradient and Integration Methods in Control Problems -- Computation of Gradients for ODE Problems -- Computation of Gradients for PDE Problems -- Integration Methods -- Part V. Representation Methods -- Ritz-Galerkin Expansion -- Karhunen-Loeve Expansion -- Levy Processes -- Bibliography -- Index.
The primary focus of this book is on explicating the direct method approach. Historically, direct methods have not been fully exploited in control problems. The key is constructing convergent minimizing families. Integration methods (for example the gradient method) and representation methods (such as the Ritz-Galerkin and Finite Element methods) are examined in this text in an abstract (with concrete examples) functional analytic way. The aim is to consider direct methods from a unified general point of view and to provide a stimulus for future research. Explicitly, implicitly and by example, potential areas of research interest are indicated. The book is a suitable reference for graduate students, researchers, applied mathematicians, and control engineers. Some of the material is of independent mathematical interest. The work may be used as a text for a graduate course or seminar on direct methods in control. A degree of mathematical sophistication and some knowledge of control theory is required.
ISBN: 9780817647230$q(electronic bk.)
Standard No.: 10.1007/978-0-8176-4723-0doiSubjects--Topical Terms:
182248
Control theory.
LC Class. No.: QA402.3 / .F35 2019
Dewey Class. No.: 515.642
Direct methods in control problems
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Part I. Introduction -- Introductory Remarks -- Historical Perspective -- Outline of Contents -- Part II. Problem Statement -- Deterministic Systems -- Stochastic Systems -- General Problem -- Part III. The Direct Method Approach: Generalities -- General Approach -- Gradient and Integration Methods -- Representation Methods -- Part IV. Gradient and Integration Methods in Control Problems -- Computation of Gradients for ODE Problems -- Computation of Gradients for PDE Problems -- Integration Methods -- Part V. Representation Methods -- Ritz-Galerkin Expansion -- Karhunen-Loeve Expansion -- Levy Processes -- Bibliography -- Index.
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The primary focus of this book is on explicating the direct method approach. Historically, direct methods have not been fully exploited in control problems. The key is constructing convergent minimizing families. Integration methods (for example the gradient method) and representation methods (such as the Ritz-Galerkin and Finite Element methods) are examined in this text in an abstract (with concrete examples) functional analytic way. The aim is to consider direct methods from a unified general point of view and to provide a stimulus for future research. Explicitly, implicitly and by example, potential areas of research interest are indicated. The book is a suitable reference for graduate students, researchers, applied mathematicians, and control engineers. Some of the material is of independent mathematical interest. The work may be used as a text for a graduate course or seminar on direct methods in control. A degree of mathematical sophistication and some knowledge of control theory is required.
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