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- W2721730103 abstract "This work deals with the relaxation of one |of the basic assumptions in the model reference approach to the adaptive control of unknown linear SISO systems, namely, the assumption concerning the a-priori knowledge of the relative degree. The elimination of such an assumption allows a unified treatment of both the unmodeled dynamic case and the standard case in which the plant order is known. This problem has been faced by designing a scheme which performs an adaptive pole assignment. The main feature of this scheme consists of the fact that the invariant reference model is of reduced order, while the number of the poles to be assigned results equal to the unknown order of the plant. The resultant adaptive control structure turns out to be globally stable." @default.
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- W2721730103 date "1991-09-01" @default.
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- W2721730103 title "On Reduced Order Model Reference Adaptive Control" @default.
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- W2721730103 doi "https://doi.org/10.1016/s1474-6670(17)54179-8" @default.
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