In this paper, global robust stability of stochastic impulsive recurrent neural networks with time-varyingdelays which are represented by the Takagi-Sugeno (T-S) fuzzy models is considered. A novel Linear Matrix Inequality (LMI)-based stability criterion is obtained by using Lyapunov functional theory to guarantee the asymptotic stability of uncertain fuzzy stochastic impulsive recurrent neural...

An H 1 based robust controller is designed for a rate-feedback ow-control problem in single-bottleneck data-communication networks. The controller is robust to uncertain time-varying multiple time-delays in diierent channels. The controller forces the queue length at the bottleneck node to the desired steady-state value aymptotically and also satisses a pricing/fairness condition. Lower bounds ...

Stability and L2 (l2)-gain analysis of linear (continuous-time and discrete-time) systems with uncertain bounded time-varying delays possessing non-zero nominal values and norm-bounded uncertainties. The delay derivatives (in the continuous-time) are not assumed to be less than q < 1. An input-output approach is applied by introducing a new input-output model, which leads to effective frequency...

Stability and L2 (l2)-gain of linear (continuous-time and discrete-time) systems with uncertain bounded time-varying delays are analyzed under the assumption that the nominal delay values are not equal to zero. The delay derivatives (in the continuous-time) are not assumed to be less than q < 1. An input–output approach is applied by introducing a new input–output model, which leads to effectiv...

This paper is mainly concerned with the globally exponential stability in mean square of uncertain neutral stochastic systems with mixed delays and Markovian jumping parameters. The mixed delays are comprised of the discrete interval time-varying delays and the distributed time delays. Taking the stochastic perturbation and Markovian jumping parameters into account, some delaydependent sufficie...