Less conservative stability criteria for neural networks with interval time-varying delay based on delay-partitioning approach
The delay-dependent asymptotic stability for neural networks with interval time-varying delay is discussed based on delay partitioning approach. The delay interval is partitioned into N equidistant subintervals and slightly different LyapunovKrasovskii functionals for each subinterval are constructed. By employing reciprocally convex approach, some less conservative delay- dependent stability criteria are presented in terms of LMI.
neural networks interval time-varying delay delay-partitioning approach reciprocally convex approach delay-dependent stability