in this paper, a new t-s fuzzy hyperbolic delay model for a class of nonlinear systems with time-varying delay, is presented to address the problems of stability analysis and feedback control. fuzzy controller is designed based on the parallel distributed compensation (pdc), and with a new lyapunov function, delay dependent asymptotic stability conditions of the closed-loop system are derived v...

This paper is concerned with the stability analysis of networked control systems (NCSs) with random delays in the control loop. The time delay between sensor and controller is modeled as a Markov process, the time delay between controller and actuator is assumed constant. A sampled-data system approach is considered. We assume that the controller is able to monitor the transmission delay which ...

It is well known that many engineering control systems such as conventional oil-chemical industrial processes, nuclear reactors, long transmission lines in pneumatic, hydraulic and rolling mill systems, flexible joint robotic manipulators and machine-tool systems, jet engine and automobile control, human-autopilot systems, ground controlled satellite and networked control and communication syst...

For cellular neural networks with time-varying delays and uncertainties, a recent work for exponential stability with convergence rate k of the networks is extended. A new linear matrix inequality criterion for the stability, which give information on the delay-dependent property, is derived. 2006 Elsevier Inc. All rights reserved.

A memory control for T-S fuzzy discrete-time systems with sto- chastic input delay is proposed in this paper. Dierent from the common assumptions on the time delay in the existing literatures, it is assumed in this paper that the delays vary randomly and satisfy some probabilistic dis- tribution. A new state space model of the discrete-time T-S fuzzy system is derived by introducing some stocha...