A class of uncertain neural networks with time-delays on states and inputs is studied. The theoretical analysis herein guarantees that the neural networks are robust stable. In addition, a state feedback control law is presented according to matrix inequalities. An example shows the feasibility of these results. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Deng, Q., & Zeng, Z. (2006). Robust control for a class of uncertain neural networks with time-delays on states and inputs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4113 LNCS-I, pp. 445–450). Springer Verlag. https://doi.org/10.1007/11816157_54
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