For the impulsive fractional-order system (IFrOS) of order ϵ∈(1,2), there have appeared some conflicting equivalent integral equations in existing studies. However, we find two fractional-order properties of piecewise function and use them to verify that these given equivalent integral equations have some defects to not be the equivalent integral equation of the IFrOS. For the IFrOS, its limit property shows the linear additivity of the impulsive effects. For the IFrOS, we use the limit analysis and the linear additivity of the impulsive effects to find its correct equivalent integral equation, which is a combination of some piecewise functions with two arbitrary constants; that is, the solution of the IFrOS is a general solution. Finally, a numerical example is given to show the equivalent integral equation and the non-uniqueness of the solution of the IFrOS.
It is well known that, in forward inference in fuzzy logic, the generalized modus ponens is guaranteed by a functional inequality called the law of T -conditionality. In this paper, the T -conditionality for T -power based implications is deeply studied and the concise necessary and sufficient conditions for a power based implication I T being T -conditional are obtained. Moreover, the sufficient conditions under which a power based implication I T is T * -conditional are discussed, this discussions give an ideas to construct a t-norm T * such that the power based implication I T is T * -conditional.
The fractional derivatives are not equal for different expressions of
the same piecewise function, which caused that the equivalent integral
equations of impulsive fractional order system (IFrOS) proposed in
existing papers are incorrect. Thus we reconsider two generalized IFrOSs
that both have the corresponding impulsive Caputo fractional order
system and the corresponding impulsive Riemann-Liouville fractional
order system as their special cases, and discover that their equivalent
integral equations are two integral equations with some arbitrary
constants, which reveal the non-uniqueness of solution of the two
generalized IFrOSs. Finally, two numerical examples are offered for
explaining the non-uniqueness of solution to the two generalized IFrOSs.
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