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Reliable robust controller design for nonlinear state-delayed systems based on neural networks

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2 Author(s)
Yanjun Shen ; Coll. of Sci., Three Gorges Univ., Hubei ; Linguo Zhang

An approach is investigated for the adaptive Hinfin control design for a class of nonlinear state-delayed systems. The nonlinear term is approximated by a linearly parameterized neural networks(LPNN). A linear state feedback Hinfin control law is presented. An adaptive weight adjustment mechanism for the neural networks is developed to ensure Hinfin regulation performance. It is shown that the control gain matrices and be transformed into a standard linear matrix inequality problem and solved via a developed recurrent neural network

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Robotics and Biomimetics (ROBIO). 2005 IEEE International Conference on

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