AbstractThis paper studies the fuzzy adaptive output feedback control design problem for non-strict feedback multi-input multi-output (MIMO) nonlinear systems with full-states prescribed performance in finite-time. Fuzzy logic systems (FLSs) are introduced to solve the problem of unknown nonlinear dynamics. And on this basis, a fuzzy-based state observer is designed to observe the unmeasurable state. Further, by combining adaptive back-stepping control algorithm and the nonlinear filters, a novel dynamic surface control (DSC) method is proposed, which not only solves the computational complexity explosion the problem inherent in the back-stepping control algorithm, but also improves the control performance, in contrast to traditional DSC methods with linear filters. Besides, to further improve the tracking performance under the structure of full states prescribed performance, a new Lyapunov function is designed considering the transform error constraint. Based on Lyapunov theory, the stability of the closed-loop system is analyzed to ensure that all signals of the closed-loop system are semi-global practical finite-time stability (SGPFS). Finally, to elaborate on the feasibility and effectiveness of the proposed control method, a simulation example is provided.