Syllogistic fuzzy reasoning is introduced into fuzzy system, and the new Cascaded Fuzzy System(CFS) is presented. The thoroughly theoretical analysis and experimental results show that syllogistic fuzzy reasoning is m...Syllogistic fuzzy reasoning is introduced into fuzzy system, and the new Cascaded Fuzzy System(CFS) is presented. The thoroughly theoretical analysis and experimental results show that syllogistic fuzzy reasoning is more robust than all other implication inferences for noise data and that CFS has better robustness than conventional fuzzy systems, which provide the solid foundation for CFS's potential application in fuzzy control and modeling and so on.展开更多
This paper considers a given neutral functional system under regime switching whose solution grows at most polynomially.Can the system tolerate Brownian noise and colour noise to preserve the polynomial growth if the ...This paper considers a given neutral functional system under regime switching whose solution grows at most polynomially.Can the system tolerate Brownian noise and colour noise to preserve the polynomial growth if the system is subject to another environment noise? The answer is positive.This paper shows that environmental noise and regime switching work together to make the original neutral differential system whose solution grows at most polynomially become a new neutral functional differential system whose solution will still preserve polynomial growth.This indicates that this neutral functional differential system can tolerate small noise without losing the property of polynomial growth,which implies robustness.This paper also proves that the criterion is suitable to neutral delay system which is as a special case of functional system.Finally,two examples are given to illustrate the main theory.展开更多
文摘Syllogistic fuzzy reasoning is introduced into fuzzy system, and the new Cascaded Fuzzy System(CFS) is presented. The thoroughly theoretical analysis and experimental results show that syllogistic fuzzy reasoning is more robust than all other implication inferences for noise data and that CFS has better robustness than conventional fuzzy systems, which provide the solid foundation for CFS's potential application in fuzzy control and modeling and so on.
基金supported by the National Natural Science Foundation of China under Grant Nos.71471070,61473125,71171091,11422110,and 11301198
文摘This paper considers a given neutral functional system under regime switching whose solution grows at most polynomially.Can the system tolerate Brownian noise and colour noise to preserve the polynomial growth if the system is subject to another environment noise? The answer is positive.This paper shows that environmental noise and regime switching work together to make the original neutral differential system whose solution grows at most polynomially become a new neutral functional differential system whose solution will still preserve polynomial growth.This indicates that this neutral functional differential system can tolerate small noise without losing the property of polynomial growth,which implies robustness.This paper also proves that the criterion is suitable to neutral delay system which is as a special case of functional system.Finally,two examples are given to illustrate the main theory.
