Control Theory Tutorial [electronic resource] : Basic Concepts Illustrated by Software Examples / by Steven A. Frank.

By: Frank, Steven A [author.]
Contributor(s): SpringerLink (Online service)
Material type: TextTextSeries: SpringerBriefs in Applied Sciences and Technology: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018Description: XI, 111 p. 32 illus., 22 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319917078Subject(s): Control engineering | System theory | Biomathematics | Mathematical physics | Finance—Mathematics | Control and Systems Theory | Systems Theory, Control | Mathematical and Computational Biology | Mathematical Applications in the Physical Sciences | Financial MathematicsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 629.8 LOC classification: TJ212-225Online resources: Click here to access online
Contents:
Introduction -- Part I: Basic Principles -- Part II: Design Tradeoffs -- Part III: Common Challenges.
In: Springer Nature Open Access eBookSummary: This open access brief introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full software code for each example is available, providing the basis for experimenting with various assumptions, learning how to write programs for control analysis, and setting the stage for future research projects. The topics focus on robustness, design trade-offs, and optimality. Most of the book develops classical linear theory. The last part of the book considers robustness with respect to nonlinearity and explicitly nonlinear extensions, as well as advanced topics such as adaptive control and model predictive control. New students, as well as scientists from other backgrounds who want a concise and easy-to-grasp coverage of control theory, will benefit from the emphasis on concepts and broad understanding of the various approaches.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
No physical items for this record

Introduction -- Part I: Basic Principles -- Part II: Design Tradeoffs -- Part III: Common Challenges.

Open Access

This open access brief introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full software code for each example is available, providing the basis for experimenting with various assumptions, learning how to write programs for control analysis, and setting the stage for future research projects. The topics focus on robustness, design trade-offs, and optimality. Most of the book develops classical linear theory. The last part of the book considers robustness with respect to nonlinearity and explicitly nonlinear extensions, as well as advanced topics such as adaptive control and model predictive control. New students, as well as scientists from other backgrounds who want a concise and easy-to-grasp coverage of control theory, will benefit from the emphasis on concepts and broad understanding of the various approaches.

There are no comments on this title.

to post a comment.
Supported by Central Library, NIT Hamirpur
Powered by KOHA