Sliding Mode Control of Nonlinear Systems Using Gaussian Radial Basis Function Neural Networks
نویسندگان
چکیده
In this paper, a novel method for driving the dynamics of a nonlinear system to a sliding mode is discussed. The approach is based on a sliding mode control methodology, i.e., the system under control is driven towards a sliding mode by tuning the parameters of the controller. In this loop, the parameters of the controller are adjusted such that a zero learning error level is reached in one dimensional phase space defined on the output of the controller. A Gaussian radial basis function neural network is used as the controller.
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