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Control Theory Tutorial : Basic Concepts Illustrated by Software Examples

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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.

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Availability

Detail Information

Series Title

SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

Call Number

620 FRA c

Publisher

Cham : Springer Cham., 2018

Collation

XI, 111

Language

English

ISBN/ISSN

978-3-319-91707-8

Classification

620

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Mathematical and Computational Biology

Specific Detail Info

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Statement of Responsibility

Steven A. Frank

Other Information

Cataloger

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Source

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Validator

Maya

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-319-91707-8

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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