|Further Improvement on Delay-range-dependent Stability Criteria for Delayed Recurrent Neural Networks with Interval Time-varying Delays
International Journal of Control, Automation, and Systems, vol. 16, no. 3, pp.1186-1193, 2018
Abstract : "This paper considers the problem of delay-range-dependent stability analysis for a class of delayed
recurrent neural networks (DRNNs) with a time-varying delay in a range. Based on the Lyapunov-Krasovskii
functional and derive the time derivative of this with integral inequality approach (IIA), new delay- dependent
stability criteria for the system are established in terms of linear matrix inequalities (LMIs), which can be solved
easily by various efficient convex optimization algorithms. Information about the lower bound of the delay is
fully used in the Lyapunov functional. Two examples are given to illustrate the effectiveness and the reduced
conservatism of the proposed results."
"Integral inequality approach (IIA), interval time-varying delay, linear matrix inequality (LMI), recurrent neural network."