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Review • Fuzzy controller design methods • Construction of rules via heuristic information • Fuzzy identification via numerical I/O data Fuzzy controller r(t) Fuzzification Inference mechanism Rule-base Defuzzification u(t) Plant y(t) Fall 2008 MECH523 : Intelligent Control 2
Issues in fuzzy controllers • Hard to choose some controller parameters (e.g. in membership functions and rule-base) to meet specified performance. • How to automatically synthesize the initial fuzzy controller for the nominal condition? • The fuzzy controller designed for a nominal plant may perform inadequately if plant parameters vary, or if some condition (noise, disturbance, environment) changes significantly. • How to automatically tune the fuzzy controller so that it can adapt to different plant conditions? Fall 2008 MECH523 : Intelligent Control 3
Page 1: MECH523: Intelligent Control Lectur
Page 5 and 6: Fuzzy model reference learning cont
Page 7 and 8: Fuzzy controller • PD fuzzy contr
Page 9 and 10: Reference model • Reference model
Page 11 and 12: Learning mechanism • Tuning of ru
Page 13 and 14: Modification of output MFs • Exam
Page 15: Summary • FMRLC: Fuzzy model refe

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