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Abstract

This paper addresses the problem of stabilization for infinite-dimensional systems. In particular, we design nonlinear stabilizers for both linear and nonlinear abstract systems. We focus on two classes of systems: the first class comprises linear abstract systems subject to matched perturbations, while the second class encompasses fully nonlinear abstract systems. Our main objective is to synthesize state-feedback controllers that guarantee finite- or fixed-time stability of the closed-loop system, along with possible estimation of the settling time. For the first class, the presence of persistent perturbations introduces significant challenges in the well-posedness analysis, particularly due to the discontinuous nature of the control law. To address this, we employ maximal monotone operator theory to rigorously establish the existence and uniqueness of solutions, extending classical results from continuous abstract systems. For the second class, which includes nonlinearities, we further show that the proposed feedback law ensures fixed-time stability and well-posedness of the closed-loop system, again using maximal monotone theory. The results provide a unified framework for robust, finite /fixed-time stabilization in the presence of discontinuities and nonlinearities in infinite-dimensional settings.