Analytical Methods in Fuzzy Modeling and Control
Springer, 22 Oca 2009 - 251 sayfa
This book is focused on mathematical analysis and rigorous design methods for fuzzy control systems based on Takagi-Sugeno fuzzy models, sometimes called Takagi-Sugeno-Kang models.
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MISO TakagiSugeno Fuzzy System with Linear Membership Functions
Recursion in TS Systems with Two Fuzzy Sets for Every Input
Fuzzy RuleBased Systems with Polynomial Membership Functions
Comprehensive Study and Applications of P1TS Systems
Modeling of Multilinear Dynamical Systems from Experimental Data
Binary Classification Using P1TS Rule Scheme
Diğer baskılar - Tümünü görüntüle
According algorithm analytical assume binary Boolean logic classifier closed-loop coefficients compute consequents constituting the vector control error control system crisp output curse of dimensionality Cy1 CY2 CY2 OV1 OV2 data set defined differential equations dynamical system exactly model functions of fuzzy fundamental matrix fuzzy control fuzzy control systems fuzzy modeling fuzzy rule-based systems fuzzy rules fuzzy sets fuzzy system given h h h highly interpretable fuzzy hypercuboid Dn input variables inputs 21 interval inverse J-K flip-flop Karnaugh maps Let us consider linear membership functions Look-up-table matrix Q membership functions MISO MISO P2-TS system multi-valued logic N1 and z2 negative obtain optimal OV1 OV3 OV4 OV4 OV1 P1-TS system parameters PID controller problem recursive second degree polynomials Section shown in Fig system from Example system is equivalent system of fuzzy t-norm Takagi-Sugeno z1 is N1 z2 is P2