Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-11-29 Cooperative journals: 《计算机应用研究》
Abstract: Aim at the problem of the delay dependent robust dissipative problem of uncertain neural networks with additive time-varying delays, a generalized activation functions was studied. Different from previous studies, some sufficient information on neuron activation function and additive time-varying delays has been considered. By constructing a suitable Lyapunov-Krasovskii functional (LKF) with some new integral terms, and estimating their derivative by using newly developed single integral inequality that includes Jensen’s inequality and Wirtinger-based integral inequality as a special case. A new delay-dependent less conservative global asymptotic stability and dissipative criteria have been established in the form of linear matrix inequalities (LMIs) technique. Finally, the validity of the proposed theory is verified by calculation and numerical simulation.