Delay-dependent robust stability criteria for delay neural networks with linear fractional uncertainties

作者: Tao Li , Lei Guo , Lingyao Wu , Changyin Sun

DOI: 10.1007/S12555-009-0214-8

关键词: Linear matrixStability (probability)Linear matrix inequalityArtificial neural networkTerm (time)MathematicsControl theoryDelay dependentControl and Systems EngineeringComputer Science Applications

摘要: This article investigates the problem of robust stability for neural networks with time-varying delays and parameter uncertainties linear fractional form. By introducing a new Lyapunov-Krasovskii functional tighter inequality, delay-dependent criteria are established in term matrix inequalities (LMIs). It is shown that obtained can provide less conservative results than some existing ones. Numerical examples given to demonstrate applicability proposed approach.

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