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In this paper, an adaptive fuzzy-neural control scheme is investigated for a class of single-input single-output (SISO) discrete-time nonlinear systems in the presence of bounded disturbances. The SISO systems are in the form of the nonlinear autoregressive moving average with exogenous input (NARMAX), which has received much attention in the discrete control field. In order to realize the stability,...
A combined adaptive fuzzy control method of a class of uncertain MIMO nonlinear systems is studied in this paper. In this method, the proposed controllers consist of two parts: the direct and indirect adaptive control terms. Compared with existing methods for controlling MIMO systems, this novel method can trade off fuzzy descriptions for control rules at the same time to achieve better adaptation...
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