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Chapter10 Nonlinearity Realsystemsarenonlinear.Beforediscussingnonlineartheory,Ireviewthreereasons why thecore theoryofcontrol focuseson linear analysis. First, feedback compensates formodel uncertainty. Supposeweanalyze a feed- back systembasedona linearmodel of dynamics, and the truemodel is nonlinear. If the linearmodel captures essential aspects of the dynamics sufficiently, the true nonlinearfeedbacksystemwilloftenhavethesamequalitativeresponsecharacteris- ticsas themodeled linearsystem.AsVinnicombe(2001,p.xvii)emphasized:“One of the key aims of using feedback is tominimize the effects of lack of knowledge about a systemwhich is tobecontrolled.” Second, the fundamental principles of control systems apply to both linear and nonlinear dynamics. The comprehensive theory for linear systemsprovides insight intononlinearsystems.Forexample,strongfeedbacksignalsoftenhelptominimize error but can create instabilities. Controllers can be added at different points in a system to filter signals or modulate inputs that drive processes. Primary goals of analysis and design often emphasize stability, disturbance rejection, regulation or tracking.Certaintradeoffsinevitablyarise.Integralcontrolsmoothsresponsetoward a long-term target. Derivative control improves the speed of response by using a simpleprediction. Third, themain tools for the analysis and design of nonlinear systems typically extend the tools developed for linear systems. For example, nonlinear systems are approximately linear near a particular operating point. One can study the linear approximation around that point, and then switch to an alternative linear approxi- mation as the systemmoves to another operating domain. By piecing together the different linear approximations in neighboring domains, one develops a sequence of linear systems that together capturemuchof thenonlinear characteristics.Other toolsofnonlinearanalysis typically leveragethedeepinsightsandmethodsof linear analysis (SlotineandLi1991; Isidori1995;Khalil 2002). This chapterpresents a fewbrief illustrationsofnonlinear control systems. ©TheAuthor(s)2018 S.A.Frank,ControlTheoryTutorial, SpringerBriefs inAppliedSciences andTechnology,https://doi.org/10.1007/978-3-319-91707-8_10 79
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Control Theory Tutorial Basic Concepts Illustrated by Software Examples
Title
Control Theory Tutorial
Subtitle
Basic Concepts Illustrated by Software Examples
Author
Steven A. Frank
Publisher
Springer Open
Location
Irvine
Date
2018
Language
English
License
CC BY 4.0
ISBN
978-3-319-91706-1
Size
15.5 x 23.5 cm
Pages
114
Keywords
Control Theory --- Engineering Design Tradeoffs, Robust Control, Feedback Control Systems, Wolfram
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Informatik
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