Introduction
Intelligentcontrolisanemergingsubjectdevelopedinthepasttwodecades.Thisbooksummarizestheresearchresultsofintelligentcontrolinrecentyears,andelaboratesthebasicconcepts,workingprinciples,designmethodsandpracticalapplicationsofintelligentcontrolindetail.Themaincontentofthisbookincludes:thebasicconceptsofenergycontrol,thetheoreticalbasisoffuzzycontrol,fuzzycontrolsystems,artificialneuralnetworkmodels,neuralnetworkcyberneticsandintegratedintelligentcontrolsystems.Whileintroducingthedesigntheoryandrealizationmethodofintelligentcontrolsystemindepth,thisbookalsogivesalargenumberofdesignexamples.
Thebookisnovelinmaterialselection,stronginsystem,andemphasizestheintegrationoftheorywithpractice,andthenarrativeissimpleandprofound.Itisespeciallysuitableforbeginnerstolearnintelligentcontroltechnology.Thisbookisequippedwithacertainnumberofexercisesandhands-onexercises.Itcanbeusedasatextbookforgraduatestudentsandseniorundergraduatesmajoringinindustrialautomation,computerapplication,informationandelectronicengineeringincollegesanduniversities,anditisalsosuitableforreadingandreferencebyengineeringandtechnicalpersonnelengagedinthefieldofindustrialautomation.
BookCatalog
Foreword
ChapterOneIntroduction
SectionOneDevelopmentProcessofIntelligentControl
1.Thepresentationofintelligentcontrolissues
Thedevelopmentofintelligentcontrol
Section2Severalimportantbranchesofintelligentcontrol
Oneexpertsystemandexpertcontrol
p>TwoFuzzyControl
ThreeNeuronNetworkControl
FourLearningControl
SectionThreePrinciplesofIntelligentControlSystem
Onestructureofintelligentcontrolsystem
Twocharacteristicsofintelligentcontrolsystem
Threemathematicaltoolsforintelligentcontrolsystemresearch
Exercisesandthinkingquestions
p>ChapterTwoTheoreticalBasisofFuzzyControl
SectionOneIntroduction
OneFuzzyControlDevelopment
TwoFuzzyControlFeatures
Section2FundamentalsofFuzzySetTheory
Theconceptofafuzzyset
Theoperationoftwofuzzysets
Theestablishmentofthreemembershipfunctions
>FourFuzzyRelations
SectionIIIFuzzyLogicFuzzyLogicReasoning
andSynthesis
One-two-valuedlogic
TwoFuzzylogicanditsbasicoperations
ThreeFuzzyLanguageLogic
FourFuzzyLogicReasoning
TheSolutionofFiveFuzzyRelationalEquations
ExercisesandQuestions
ChapterThreeFuzzyControlSystem
SectionOneCompositionofFuzzyControlSystem
OneFuzzyProcess
TwoKnowledgeLibrary
ThreeReasoningDecisionLogic
FourPrecisionProcess
SectionTwoDesignofFuzzyControlSystem
AFuzzyControllerStructuraldesign
Thedesignprincipleoftwofuzzycontrollers
Theconventionaldesignmethodofthreefuzzycontrollers
Sectionthreedesignexamplesoffuzzycontrollers
Thedesignofafuzzycontrollerforflowcontrol
ThedesignofafuzzycontrollerforthesecondDCspeedcontrolsystem
ThefourthsectiondesignofafuzzyPIDcontroller
OnehybridstructureoffuzzycontrollerandconventionalPID
TwoconventionalPIDparametersfuzzyself-tuningtechnology
Exercisesandthinkingquestions
Computerexperimentquestions
Chapter4ArtificialNeuralNetworkModel
Section1Introduction
OneNeuronModel
ModelClassificationofTwoNeuralNetworks
Learningalgorithmofthreeneuralnetworks
Generalizationabilityoffourneuralnetworks
Section2ForwardNeuralNetworkModel
OneSingleartificialgodJingyuan
Twosingle-layerneuralnetworkstructure
Three-layerneuralnetworkstructure
Thelearningalgorithmoffour-layerpropagationnetwork
Section3DynamicNeuralNetworkModel
Amultilayerperceptronnetworkwithtimedelay
TwoHopfieldneuralnetwork
Exercisesandthinkingquestions
Computerexperimentquestions
Chapter5NeuralNetworkCybernetics
SectionOneIntroduction
Thesuperiorityofneuralnetworkcontrol
Classificationoftwoneuralnetworkcontrollers
Approximationabilityofthreeneuralnetworks
Section2NeuralNetworksofNonlinearDynamicSystems
NetworkIdentification
Identificationbasisofaneuralnetwork
Structureoftwoneuralnetworkidentificationmodel
Neuralnetworkidentificationofthreenonlineardynamicsystems
Section3Learningmechanismofneuralnetworkcontrol
Oneofflinelearningmethod
Twoonlinelearningmethod
Threefeedbackerrorlearningmethod
FourmorenetworksLearningmethod
SectionIVDesignofNeuralNetworkController
OneNeuralNetworkDirectInverseModelControlMethod
TwoDirectNetworkControlDesignMethod
Section5*Adaptationbasedonneuralnetwork
Control
Modelreferenceadaptivecontrolofoneneuralnetwork
Self-tuningoftwoneuralnetworkControl
Exercisesandthinkingquestions
ChapterVIIntegratedIntelligentControlSystem
SectionOneIntroductiontoIntegratedIntelligentControlSystem
OneFuzzyNeuralNetworkSystem
TwoNeuralNetworkExpertSystem
SectionTwoFuzzyNeuralNetworkControl
OneFuzzyNeuralNetworkStructure
TwoLearningalgorithmoffuzzyneuralnetwork
Section3ProspectsofIntelligentControl
OneLearningControl
TwoHumanSimulationControl
ThreeChaosControl