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An Introduction to InteI1igent ControI
Introductory Fuzzy Logic
Fuzzy Logic Contro1Ier Structure and Design
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achieved adaptive controller algebraic product algorithm associative memory B-spline basis functions BSNN Cartesian product centre closed loop response compact support composition computational Consider constraints control action control rule base controller design convergence defined defuzzification derivative desired closed loop dimensional discretisation dynamics ensure equation error evaluated example Figure finite fuzzy controller fuzzy implication fuzzy logic controller fuzzy model fuzzy relation fuzzy rule fuzzy sets generalisation given inference input set input space input/output intelligent control inverse knots layer learning linear linguistic qualifiers mapping membership function metric space multivariate NB NB Neural Networks neurocontrol nonlinear norm normalised output parameters path curvature PB PB PB performance phase plane PID controller piecewise PM PB polynomial predictor priori product operator region relational matrix second order self-organising self-organising fuzzy logic set point SOFLIC spline Stone-Weierstrass theorem theorem trajectory universe of discourse utilised variables vehicle weight vector whilst zero