@misc{Poznyak_Alexander_S._Robust, author={Poznyak, Alexander S. and Yu, Wen and Sanchez, Edgar N. and Sira-Ramirez, Hebertt}, howpublished={online}, publisher={Zielona Góra: Uniwersytet Zielonogórski}, language={eng}, abstract={The problem of identification of continuous, uncertain nonlinear systems in the presence of bounded disturbances is implemented using dynamic neural networks. The proposed neural identifier guarantees a bound for the state estimation error. This bound turns out to be a linear combination of internal and external uncertainty levels.}, abstract={The neural net weights are updated on-line by a learning algorithm based on the sliding mode technique. To the best of the authors' knowledge, such a learning scheme is proposed for dynamic neural networks for the first time. Numerical simulations illustrate its effectiveness, even for highly nonlinear systems in the presence of important disturbances}, type={artykuł}, title={Robust identification by dynamic neural networks using sliding mode learning}, keywords={sterowanie, sterowanie-teoria, sztuczna inteligencja, matematyka stosowana, informatyka}, }