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This paper presents two neuro-adaptive controllers for a class of uncertain single-input, single-output (SISO) nonlinear non-affine systems with unknown gain sign. The first approach is state feedback controller, so that a neuro-adaptive state-feedback controller is constructed based on the backstepping technique. The second approach is an observer-based controller and K-filters are designed to estimate...
This paper presents a direct adaptive neural controller for a class of SISO non-affine nonlinear systems. Based on the implicit function theorem, the existence of an ideal controller is proved, and neural network is employed to approximate the unknown ideal controller. Since all the states may not be available for measurements, an observer is designed to estimate the states of the system. In this...
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