Robust reliable H∞ control for neural networks with mixed time delays |
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| Institution: | 1. College of Applied Mathematics, Chengdu University of Information Technology, Chengdu, Sichuan 610225, PR China;2. Department of Applied mathematics, University of Waterloo, Waterloo, Ontario N2l 3G1, Canada;3. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China |
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| Abstract: | This paper considers the problem of robust reliable H∞ control for neural networks. The system has time-varying delays, parametric uncertainties and faulty actuators. The faulty actuators are considered as a disturbance signal to the system which is augmented with system disturbance input. Based on the LMI technique and the Lyapunov stability theory, a new set of sufficient conditions is obtained for the existence of the robust reliable H∞ controller. An example is also presented illustrate the results. |
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