Novel delay-dependent stability criteria for neural networks with interval time-varying delay
作者： Jian-An Wang
DOI: 10.1088/1674-1056/20/12/120701
关键词: Decomposition method (constraint satisfaction) 、 Applied mathematics 、 Linear matrix inequality 、 Artificial neural network 、 Stability (probability) 、 Mathematics 、 Exponential stability 、 Type (model theory) 、 Interval (mathematics) 、 Convex combination
摘要: The problem of delay-dependent asymptotic stability for neural networks with interval time-varying delay is investigated. Based on the idea decomposition method, a new type Lyapunov—Krasovskii functional constructed. Several novel criteria are presented in terms linear matrix inequality by using Jensen integral and convex combination technique. Numerical examples given to demonstrate that proposed method effective less conservative.
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