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References AndersonBDO,MooreJB(1989)Optimalcontrol: linearquadraticmethods.PrenticeHall,Engle- woodCliffs,NewJersey AntsaklisPJ (1990)Neuralnetworks incontrol systems. IEEEControlSystMag10:3–5 Astolfi A, Karagiannis D, Ortega R (2008) Nonlinear and adaptive control with applications. Springer,NewYork ÅströmKJ,HägglundT(2006)AdvancedPIDcontrol.SystemsandAutomationSociety,Research TrianglePark,NorthCarolina,USA, ISA-The Instrumentation ÅströmKJ,Murray RM (2008) Feedback systems: an introduction for scientists and engineers, versionv2.11aedn.PrincetonUniversityPress,Princeton,NJ ÅströmKJ,WittenmarkB(2008)Adaptivecontrol, 2ndedn.DoverPublications,Mineola Baillieul J,SamadT(eds) (2015)Encyclopediaof systemsandcontrol.Springer-Verlag,London BodeHW (1964) Feedback—the history of an idea. In: BellmanRE,KalabaRE (eds) Selected papersonmathematical trends incontrol theory.Dover,NewYork,pp106–123 CamachoEF,BordonsC(2007)Modelpredictivecontrol, 2ndedn.Springer,London ChangYC(2017)AdaptiveH2/H∞ trackingcontrol foraclassofuncertain robotic systems. Int J Control90:463–479 ChenX,ZhouK(2001)MultiobjectiveH2/H∞ controldesign.SIAMJControlOptim40(2):628– 660 DorfRC,BishopRH(2016)Moderncontrol systems,13thedn.Pearson,SantaMonica EllisM,DurandH,ChristofidesPD(2014)Atutorial reviewofeconomicmodelpredictivecontrol methods. JProcessControl24(8):1156–1178 FrankSA(2017)Puzzlesinmodernbiology.V.Whyaregenomesoverwired?F1000Research6:924 GarpingerO,HägglundT,ÅströmKJ(2014)Performanceandrobustnesstrade-offs inPIDcontrol. JProcessControl24(5):568–577 Goodfellow I,BengioY,CourvilleA (2016)Deep learning.MITPress, Cambridge. http://www. deeplearningbook.org IoannouPA,SunJ (2012)Robust adaptivecontrol.DoverPublications,Mineola IsidoriA(1995)Nonlinear control systems,3rdedn.Springer,NewYork KhalilHK(2002)Nonlinear systems,3rdedn.PrenticeHall,UpperSaddleRiver LiuKZ,YaoY(2016)Robust control: theoryandapplications.Wiley,Singapore Nielsen MA (2015) Neural networks and deep learning. Determination Press. http:// neuralnetworksanddeeplearning.com/ Normey-RicoJE,CamachoEF(2007)Controlofdead-timeprocesses.Springer,London OgataK(2009)Moderncontrol engineering,5thedn.PrenticeHall,NewYork ParkerGA,MaynardSmithJ (1990)Optimality theory inevolutionarybiology.Nature348:27–33 QiuL,ZhouK(2010) Introduction to feedbackcontrol.PrenticeHall,UpperSaddleRiver,NJ Qiu L, ZhouK (2013) Preclassical tools for postmodern control: an optimal and robust control theory forundergraduateeducation. IEEEControlSyst33(4):26–38 ©TheEditor(s) (if applicable) andTheAuthor(s)2018 S.A.Frank,ControlTheoryTutorial, SpringerBriefs inAppliedSciences andTechnology,https://doi.org/10.1007/978-3-319-91707-8 107
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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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