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In this paper, we extend our previous research results from the stabilization of dynamic neural networks to the stabilization of unknown nonlinear systems, and present an approach of H∞ control for nonlinear systems via dynamic neural networks. The proposed H∞ controller is intended to attenuate the adverse impact of modeling error, considered as a disturbance, to a prescribed level with stability...
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