简介:[篇名]AFuzzyAdditiveReasoningSchemeforProbabilisticMamdaniFuzzySystems,[篇名]Afuzzylinguistic-basedsoftwaretoolforseismicimageinterpretation,[篇名]AFuzzyModelofSupportVectorMachineRegression,[篇名]Afuzzysystemmodellingoftheevolutionoftumourinhumantissues,[篇名]Ageneralisedapproachtopoint-to-pointmotionofmulti-DOFparallelmanipulatorsillustratedwithTMPM,[篇名]Ahierarchicalfuzzysteeringcontrollerformobilerobots,[篇名]AHierarchicalNeuro-FiizzySystemBasedonS-Implications,[篇名]AHIERARCHICALNEURO-FUZZYSYSTEMFORIDENTIFICATIONOFSIMULTANEOUSFAULTSINHYDRAULICSERVOVALVES,[篇名]AHybridTwo-StageFuzzyARTMAPandLVQNeuro-FuzzySystemforOn-LineHandwritingRecognition。
简介:Automateddiscoveryoftechniquesforamulti-agentfuzzyexpertsystem:theoryandsimulation;Classificationofweldingflawtypeswithfuzzyexpertsystems;Combiningscoringmethodandfuzzyexpertsystemsapproachtosupplierassessment:acasestudy;EVBatteryManagementSystemwithFuzzyExpertDiagnosing;FuzzyexpertsystembasedonroughsetsinATMnetworks;Fuzzyexpertsystemusingloadsheddingforvoltageinstabilitycontrol;Intelligentconsultant。
简介:基于模糊控制思想,研究了新近提出的Liu混沌系统的耦合同步。为了分析比较,首先应用线性时变稳定性理论实现Liu混沌系统的线性耦合同步。然后基于T-S模糊模型重构了Liu混沌系统,并用Lyapunov理论和耦合同步的思想推导了两个重构的Liu系统耦合同步的稳定性条件。本文的模糊耦合同步方法通过LMI方法可以迅速求取可行解,同步条件更加清晰明确、约束条件少,并可以方便地得到不同衰减率α下全局渐近稳定的充分条件。此外,设计的控制器都由线性函数构成,有利于实际应用中构造控制器。良好的仿真结果验证了本文模糊同步方法的有效性,该方法适用于符合广义Lorenz范式(GLCF)的混沌系统。