In this paper, a synchronization problem is investigated for an array of coupled complex discrete-time networks with the simultaneous presence both discrete and distributed time delays. The addressed which include neural social as special cases are quite general. Rather than commonly used Lipschitz-type function, more general sector-like nonlinear function employed to describe nonlinearities existing in network. infinite delays domain first defined. By utilizing novel Lyapunov-Krasovskii...

In this paper, the problem of stochastic synchronization analysis is investigated for a new array coupled discretetime complex networks with randomly occurred nonlinearities (RONs) and time delays.The discrete-time under consideration are subject to: 1) that occur according to Bernoulli distributed white noise sequences; 2) disturbances enter coupling term, delayed term as well overall network; 3) delays include both discrete ones.Note newly introduced RONs multiple can better reflect...

In this paper, we introduce a new class of discrete-time neural networks (DNNs) with Markovian jumping parameters as well mode-dependent mixed time delays (both discrete and distributed delays). Specifically, the DNNs are subject to switching from one another at different times according Markov chain, consist both that dependent on mode. We first deal stability analysis problem addressed networks. A special inequality is developed account for in setting, novel Lyapunov-Krasovskii functional...

In this paper, we are devoted to investigate the consensus-based distributed state estimation problems for a class of sensor networks within unscented Kalman filter (UKF) framework. The communication status among sensors is represented by connected undirected graph. Moreover, weighted average UKF algorithm developed purpose estimating true interest, and its error bounded in mean square which has been proven following section. Finally, effectiveness proposed validated through simulation example.

In this technical note, the globally exponential stabilization problem is investigated for a general class of stochastic systems with both Markovian jumping parameters and mixed time-delays. The mode-dependent time-delays consist discrete distributed delays. We aim to design memoryless state feedback controller such that closed-loop system stochastically exponentially stable in mean square sense. First, by introducing new Lyapunov-Krasovskii functional accounts delays, analysis conducted...

In recent years, the communication-protocol-based synthesis and analysis issues have gained substantial research interest owing mainly to their significance in networked systems. this work, we survey control filtering problems of systems under effects induced by communication protocols. First, introduce engineering background as well theoretical frameworks established deal with problems. Then, advances (especially latest results) are reviewed on stability issue subject protocol scheduling....

Summary This paper is concerned with the distributed filtering problem for a class of nonlinear time‐delay system over sensor networks subject to multiplicative link noises and switching topology. Both discrete time delays are included in model. Each estimates state by means measurements not only from itself but also its neighboring nodes according an interactive The stochastic taken into consideration reflect random perturbations during information exchanges between nodes. considered...

The analysis and synthesis issues have gained widespread attention for complex dynamical networks (CDNs) over the past few years. Accordingly, some challenges including protocol-based scheduling, security vulnerability, limited communication resources as well network-induced phenomena to be handled by developing effective design approaches. In this paper, we make an attempt review latest state estimation schemes CDNs especially those networked environment. Firstly, engineering background...

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper is concerned with the robust synchronization problem for an array of coupled stochastic discrete-time neural networks time-varying delay. The individual network subject to parameter uncertainty, disturbance, and delay, where norm-bounded uncertainties exist in both state weight matrices, disturbance form a scalar Wiener process, time delay enters into activation function. For networks,...

In this paper, the synchronization problem is studied for an array of N identical delayed neutral-type neural networks with Markovian jumping parameters. The coupled involve both mode-dependent discrete-time delays and unbounded distributed time delays. All network parameters including coupling matrix are also dependent on mode. By introducing novel Lyapunov-Krasovskii functionals using some analytical techniques, sufficient conditions derived to guarantee that asymptotically synchronized in...

In this paper, the synchronization control problem is considered for two coupled discrete-time complex networks with time delays. The network under investigation quite general to reflect reality, where state delays are allowed be varying given lower and upper bounds, stochastic disturbances assumed Brownian motions that affect not only coupling but also overall networks. By utilizing Lyapunov functional method combined linear matrix inequality (LMI) techniques, we obtain several sufficient...