In this article, the Input-to-state stability theory is used to investigate stochastic Cohen–Grossberg bidirectional associative memory neural network with time-varying delay. addition, Markovian jump parameters are considered in model determine continuous-time, discrete-state Markov chain. By utilizing Lyapunov functional and weak infinitesimal generator algebraic conditions derived for criter...

This paper addresses the global asymptotic stabilization for a class of high-order nonholonomic systems with time-varying delays. By employing input-state-scaling, and adding a power integrator techniques, and by choosing an appropriate Lyapunov-Krasoviskii functional, a state feedback controller is constructed. Based on switching strategy to eliminate the phenomenon of uncontrollability, the p...

This paper extends the scaled-small gain proposal in [1], modifying the Lyapunov-Krasovskii functional to analyze the robust stability of predictorbased state-feedback controllers for discrete-time systems with model uncertainties and unknown time-varying delays in the control input. Results show that the use of predictors improves the achieved robustness margin over static state feedback in so...

In this paper, improved conditions for the synthesis of static state-feedback controller are derived to stabilize networked control systems (NCSs) subject to actuator saturation. Both of the data packet latency and dropout which deteriorate the performance of the closed-loop system are considered in the NCS model via variable delays. Two different techniques are employed to incorporate actuator...

The control of discrete systems with time-varying delays has been researched extensively in the last few decades. Especially in recent years there are increasing interests in discrete-time systems with delays due to the emerging fields of networked control and network congestion control (Altman & Basar 1999; Sichitiu et al., 2003; Boukas & Liu 2001). Stability problem for linear discrete-time s...

This paper studies the stability of a network flow model with transmission and queuing delays in the forward and backward channels. We present a novel small gain approach to prove global asymptotic stability for arbitrary time delays and network routing. This approach uses a logarithmic state transformation suggested recently in the literature, and establishes a linear input-to-state gain for t...

This work is devoted to integrated controlscheduling in the case of real-time control of systems with communications delays, i.e. network induced delay and input output latency. Feedback control of computing resources is tackled, to deal with CPU resource variations and unpredicitble workload. Thus two new control schemes are provided for feedack scheduling of single and multi control task syst...