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In this paper, a backstepping based adaptive fuzzy control algorithem is presented for a class of uncertain nonlinear discrete-time systems in the strict-feedback form. By introducing the "minimal learning parameter (MLP)" technique, the proposed scheme is able to circumvent the problem of "curse of dimension" for high-dimensional systems. Meanwhile, all the virtual control laws...
In this paper, by incorporating “minimal learning parameter (MLP)” technique into an adaptive fuzzy control design framework, a backstepping based control algorithem is presented for a class of uncertain strict-feedback nonlinear discrete-time systems. The proposed scheme is able to circumvent the problem of “curse of dimension” for high-dimensional systems. thus the number of parameters updated online...
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