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In this paper we study global stabilization of a class of nonlinear uncertain systems while decoupling the output from external disturbances to any specified degree of accuracy. The nominal systems are assumed to be smooth, have a certain strong relative degree and are of minimum phase. Model uncertainties are dealt with either by restricting them to be structured or/and by treating a family of plants...
Global asymptotic stabilization of nominally linear uncertain systems is considered where uncertain elements in the plant are modelled as cone bounded nonlinearities. At first, a linear time-invariant state feedback law ensuring global aymptotic closed-loop stability is obtained. The algorithm which calculates such a feedback law is simple and straightforward. It does not involve repeated solutions...
In this paper we study global stabilization of a class of nonlinear uncertain systems while decoupling the output from external disturbances to any specified degree of accuracy. The class of nonlinear systems considered could be viewed as a generalization of uniform rank multivariable linear systems which have the property that all their infinite zeros are of the same order. Although the plants considered...
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