Robust Nonlinear Control using Neural
نویسنده
چکیده
In this article, the innuence of uncertainty on weights and biases of neural networks on the input/output behavior is investigated. Moreover, a uncertainty description of uncertain neural networks is derived and an appropriate norm bound of the model uncertainty , which is needed for robust control design, is derived. Finally, feedback linearization is used in order to fully incorporate neural networks in standard robust l 1 model based control.
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