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Based on multilayer neural networks, feedback linearization technology, and backstepping design method, a novel robust adaptive control design method is proposed for one hypersonic vehicle(HSV) uncertain MIMO nonaffine block control system. Multilayer neural networks are used to identify the nonlinear uncertainties of the system. A continuous robust term is adopt to minify the influence of the multilayer...
In this paper, an adaptive controller is developed for uncertain nonlinear systems in the presence of input saturation. The control design is achieved by using backstepping technique with neural network approximation. Unlike some existing control schemes for systems with input saturation, the developed controller does not require uncertain parameters within a known compact set. Besides showing stability,...
An adaptive neural network control scheme is developed for a class of nonlinear systems in the strict-feedback form. Compared with the existing approaches, the main advantage is that the developed scheme can be implemented by utilizing only one neural network approximator. Thus, the designed controller structure is simplified. In addition, less neural network can reduce the running cost in practical...
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