Web-Books
im Austria-Forum
Austria-Forum
Web-Books
Informatik
Control Theory Tutorial - Basic Concepts Illustrated by Software Examples
Seite - (000083) -
  • Benutzer
  • Version
    • Vollversion
    • Textversion
  • Sprache
    • Deutsch
    • English - Englisch

Seite - (000083) - in Control Theory Tutorial - Basic Concepts Illustrated by Software Examples

Bild der Seite - (000083) -

Bild der Seite - (000083) - in Control Theory Tutorial - Basic Concepts Illustrated by Software Examples

Text der Seite - (000083) -

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
zurück zum  Buch Control Theory Tutorial - Basic Concepts Illustrated by Software Examples"
Control Theory Tutorial Basic Concepts Illustrated by Software Examples
Titel
Control Theory Tutorial
Untertitel
Basic Concepts Illustrated by Software Examples
Autor
Steven A. Frank
Verlag
Springer Open
Ort
Irvine
Datum
2018
Sprache
englisch
Lizenz
CC BY 4.0
ISBN
978-3-319-91706-1
Abmessungen
15.5 x 23.5 cm
Seiten
114
Schlagwörter
Control Theory --- Engineering Design Tradeoffs, Robust Control, Feedback Control Systems, Wolfram
Kategorie
Informatik
Web-Books
Bibliothek
Datenschutz
Impressum
Austria-Forum
Austria-Forum
Web-Books
Control Theory Tutorial