In this paper, we study the impact of low-quality node on the performance of incremental least mean square (ILMS) adaptive networks. Adaptive networks involve many nodes with adaptation and learning capabilities. Low-quality mode in the performance of a node in a practical sensor network is modeled by the observation of pure noise (its observation noise) that leads to an unreliable measurement....

Vehicular Ad-Hoc Networks can enhance road safety and enable drivers to avoid different threats. Safety applications, mobile commerce, and other information services are among different available services that are affected by dynamic topology, vehicle’s speed and node misbehaving. Dynamic topology makes the route unstable and unreliable. So, improving the throughput and performance of VANET thr...

The main purpose of this paper is to further investigate the stability problem of impulsive neural networks with time-varying delays in the case that the underlying continuous delayed neural networks are unstable. By establishing an impulsive delayed differential inequality, some novel and less conservative criteria for global exponential stability of the equilibrium point of such model are der...

Quasi-equal clock reduction for networks of timed automata replaces equivalence classes of clocks which are equal except for unstable phases, i.e., points in time where these clocks differ on their valuation, by a single representative clock. An existing approach yields significant reductions of the overall verification time but is limited to so-called wellformed networks and local queries, i.e...

The asymptotic attractors of a nonlinear dynamical system play a key role in the long-term physically observable behaviors of the system. The study of attractors and the search for distinct types of attractor have been a central task in nonlinear dynamics. In smooth dynamical systems, an attractor is often enclosed completely in its basin of attraction with a finite distance from the basin boun...

Classical Jackson networks are a well established tool for the analysis of complex systems. In this paper we analyze Jackson networks with the additional features that (i) nodes may have an infinite supply of low priority work and (ii) nodes may be unstable in the sense that the queue length at these nodes grows beyond any bound. We provide the limiting distribution of the queue length distribu...

In this letter, the ability of higher-order Hopfield networks to solve combinatorial optimization problems is assessed by means of a rigorous analysis of their properties. The stability of the continuous network is almost completely clarified: (1) hyperbolic interior equilibria, which are unfeasible, are unstable; (2) the state cannot escape from the unitary hypercube; and (3) a Lyapunov functi...