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In this paper, the problem of adaptive neural output-feedback control is addressed for a class of multi-input multioutput (MIMO) switched uncertain nonlinear systems with unknown control gains. Neural networks (NNs) are used to approximate unknown nonlinear functions. In order to avoid the conservativeness caused by adoption of a common observer for all subsystems, an MIMO NN switched observer is...
This paper investigates the problem of adaptive fuzzy output-feedback control for a class of switched uncertain nonlinear systems without the measurements of the system states. By utilizing fuzzy logic systems to approximate unknown nonlinear functions, a novel adaptive fuzzy control technique for the problem studied is set up by exploiting the average dwell time method and backstepping. A switched...
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