Print Email Facebook Twitter Efficient adaptive fuzzy control scheme Title Efficient adaptive fuzzy control scheme Author Papp, Z. Driessen, B.J.F. Technisch Physische Dienst TNO - TH Publication year 1995 Abstract The paper presents an adaptive nonlinear (state-) feedback control structure, where the nonlinearities are implemented as smooth fuzzy mappings defined as rule sets. The fine tuning and adaption of the controller is realized by an indirect adaptive scheme, which modifies the parameters of the fuzzy mapping. The performance index gradients are calculated on-line (using the sensitivity model of the subsystem to be controlled and the controller) to guide the training thus to provide relatively fast learning. Using this scheme an adaptive fuzzy controller design and simulation package was developed with direct link to DSP based real-time implementation. The tool was used to solve highly nonlinear control problems in mechatronics area. Subject ElectronicsDigital signal processingFeedbackFuzzy controlFuzzy setsLearning systemsNonlinear control systemsOnline systemsParameter estimationPerformanceReal time systemsSensitivity analysisTuningAdaptive nonlinear feedback control structureFine tuningFuzzy mappingsIndex gradientsMechatronics areaAdaptive control systems To reference this document use: http://resolver.tudelft.nl/uuid:b6170b99-1ce8-407b-8b2d-e25a1f603f00 TNO identifier 232817 Publisher IEEE, Piscataway, NJ, US Source Proceedings of the 1995 IEEE Instrumentation and Measurement Technology Conference, 23-26 April 1995, Naltham, MA, USA, 741-746 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.