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of fractional derivatives (which plays a similar role to that of the exponential function in the case of integer order) Finally, in section 735, we examine a class of controlled-and-observed linear dynamic systems of fractional order and approach some typical stakes of automatic control Then, in section 74, we consider fractional differential equations in one variable but when orders of derivations are not commensurate: there are no simple algebraic tools t our disposal in the frequency domain and work carried out in the case of commensurate orders does not apply any more We further examine the strong bond which exists with diffusive representations of pseudo-differential operators We give some simple ideas and elementary properties and then we present a general result of decomposition for the solutions of fractional differential equations into a localized or integer order part and a diffusive part In section 75, nally, we show that the preceding theory in the time variable (which appeals, in the commensurate case, to polynomials and rational fractions in frequency domain) can extend to several variables in the case of fractional partial differential equations (we obtain more general meromorphic functions which are not rational fractions) With this intention, we treat an example conclusively: that of the partial differential wave equation with viscothermal losses at the walls of the acoustic pipes, ie an equation which reveals a time derivative of order three halves Throughout this chapter, we will treat the half-order as an example, in order to clarify our intention This chapter has been inspired by several articles and particularly [AUD 00, MAT 95a] This personal work is also the fruit of collaborations with various researchers including d Andr a-Novel, Audounet, Dauphin, Heleschewitz and Montseny More recently, new co-authors have helped enlarge the perspective of our work: let us mention H lie, Haddar, Prieur and Zwart 72 De nitions 721 Fractional integration The primitive, canceling at initial time t = 0, reiterated an integer number n of times I n f , of an integrable function f , is nothing other than the convolution of f with a polynomial kernel Yn (t) = tn 1 /(n 1)!: + I n f (t) =.

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