Robust adaptive neural control for strict-feedback nonlinear systems

Abstract

A novel robust adaptive neural control approach is presented for a general class of strict-feedback nonlinear systems with both nonlinear uncertainties and virtual control gain nonlinearities that may not be linearly parameterized. A unified and systematic procedure is employed to derive a robust adaptive tracking controller by using of the backstepping… (More)

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