Control Theory Tutorial: Basic Concepts Illustrated by Software Examples

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 nat...

Full description

Saved in:
Bibliographic Details
Main Author: Steven A. Frank (auth)
Format: Electronic Book Chapter
Language:English
Published: Springer Nature 2018
Series:SpringerBriefs in Applied Sciences and Technology
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000naaaa2200000uu 4500
001 doab_20_500_12854_44033
005 20210211
003 oapen
006 m o d
007 cr|mn|---annan
008 20210211s2018 xx |||||o ||| 0|eng d
020 |a /doi.org/10.1007/978-3-319-91707-8 
020 |a 9783319917061 
020 |a 9783319917078 
040 |a oapen  |c oapen 
024 7 |a https://doi.org/10.1007/978-3-319-91707-8  |c doi 
041 0 |a eng 
042 |a dc 
100 1 |a Steven A. Frank  |4 auth 
245 1 0 |a Control Theory Tutorial: Basic Concepts Illustrated by Software Examples 
260 |b Springer Nature  |c 2018 
300 |a 1 electronic resource (111 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a SpringerBriefs in Applied Sciences and Technology 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a 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. 
536 |a US National Science Foundation (NSF); Donald Bren Foundation; University of California 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
653 |a Control Theory 
653 |a Wolfram Mathematica Software 
653 |a Robust Control 
653 |a Engineering Design Tradeoffs 
653 |a Feedback Control Systems 
653 |a Optimal Control 
856 4 0 |a www.oapen.org  |u https://link.springer.com/book/10.1007/978-3-319-91707-8  |7 0  |z DOAB: download the publication 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/44033  |7 0  |z DOAB: description of the publication