| 摘 要： | This paper deals with H∞state estimation problem of neural networks with discrete and distributed time-varying delays. A novel delay-dependent concept of H∞state estimation is proposed to estimate the H∞performance and global asymptotic stability of the concerned neural networks. By constructing the Lyapunov–Krasovskii functional and using the linear matrix inequality technique, sufficient conditions for delay-dependent H∞performances are obtained, which can be easily solved by some standard numerical algorithms. Finally, numerical examples are given to illustrate the usefulness and effectiveness of the proposed theoretical results.
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