Analytical Methods in Fuzzy Modeling and ControlSpringer, 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. |
Kitabın içinden
16 sonuçtan 1-5 arası sonuçlar
Sayfa vii
... system theory and classical control theory. Classical control theory can be applied to modeling of dynamical plants and the ... closed-loop fuzzy control systems. The main objective of this book is to establish comprehensive and unified ...
... system theory and classical control theory. Classical control theory can be applied to modeling of dynamical plants and the ... closed-loop fuzzy control systems. The main objective of this book is to establish comprehensive and unified ...
Sayfa viii
... closed-loop fuzzy control systems. Several notions and results are new in this book, which are unavailable in any other book. To them belong the notions of the generator and the fundamental matrix of the TS system, the matrix ...
... closed-loop fuzzy control systems. Several notions and results are new in this book, which are unavailable in any other book. To them belong the notions of the generator and the fundamental matrix of the TS system, the matrix ...
Sayfa xii
... system, low order atmospheric circulation process and induction motor. The theory of P1-TS systems is also used for optimal analytical design of the well-known PID controller, working in the closed-loop control system for some class of ...
... system, low order atmospheric circulation process and induction motor. The theory of P1-TS systems is also used for optimal analytical design of the well-known PID controller, working in the closed-loop control system for some class of ...
Sayfa xxii
... Closed-loop PID control system . . . . . . . . . . . . . . . . . . . . . . . . . . Closed-loop nonlinear PD-like fuzzy control system . . . . . . . . . Consequents of the rules R1-R3 from Example 5.12 . . . . . . . . . Consequent of the ...
... Closed-loop PID control system . . . . . . . . . . . . . . . . . . . . . . . . . . Closed-loop nonlinear PD-like fuzzy control system . . . . . . . . . Consequents of the rules R1-R3 from Example 5.12 . . . . . . . . . Consequent of the ...
Sayfa 2
... close to human intuition. For this reason, it has been successfully applied to a variety of industrial processes and ... closed-loop fuzzy control systems; practically all 'proofs' from the field of fuzzy control have been made by ...
... close to human intuition. For this reason, it has been successfully applied to a variety of industrial processes and ... closed-loop fuzzy control systems; practically all 'proofs' from the field of fuzzy control have been made by ...
İçindekiler
1 | |
3 | |
Recursion in TS Systems with Two Fuzzy Sets for Every Input | 25 |
Fuzzy RuleBased Systems with Polynomial Membership Functions | 60 |
Comprehensive Study and Applications of P1TS Systems | 101 |
Modeling of Multilinear Dynamical Systems from Experimental Data | 183 |
Binary Classification Using P1TS Rule Scheme | 198 |
Appendix A Kronecker Product of Matrices | 217 |
Appendix B Generators and Fundamental Matrices for P1TS Systems | 219 |
Appendix C Proofs of Theorems Remarks and Algorithms | 231 |
References | 237 |
Index | 249 |
Diğer baskılar - Tümünü görüntüle
Sık kullanılan terimler ve kelime öbekleri
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