In this paper, we focuses on the observer design problem for nonlinear neutral systems. The problem addressed that of designing a full-order observer that guarantees the asymptotically stable of the error dynamic system. The sufficient stability conditions are derived via Lyapunov–Krasovskii functionals (LKF). When these conditions, which are given in terms of linear matrix inequalities (LMIs),...

in this paper, we investigate the delay-dependent robust stability of fuzzy cohen-grossberg neural networks with markovian jumping parameter and mixed time varying delays by delay decomposition method. a new lyapunov-krasovskii functional (lkf) is constructed by nonuniformly dividing discrete delay interval into multiple subinterval, and choosing proper functionals with different weighting matr...

In this article, the networked filtering problem for a class of robotic manipulators with semi-Markov type parameters is investigated under passivity framework. particular, mode-dependent quantization and event-triggered communication scheme are both proposed increasing network transmission efficiency. Sufficient stability conditions first derived by choosing Lyapunov–Krasovskii functionals. Th...

In this study, we introduce the topic for exponential stability criterion of delayed linear system via intermittent feedback control. Utilizing concept fundamental control is designed as continuous-time controller to generate open-loop predictions states, foreseeing behavior in future over time-varying delay defined (2.2). The open loop trajectory would declare set I(t) into a closed-loop For n...

In this work, stability analysis for a class of switched nonlinear time-delay systems is performed by applying Lyapunov–Krasovskii and Lyapunov–Razumikhin approaches. It assumed that each subsystem in the family homogeneous (of positive or negative degree) asymptotically stable delay-free setting. The cases existence common multiple functionals function are explored. scenarios with synchronous ...

A problem of assessing stability of retarded dynamical networks is solved in this paper. Subsystems are assumed to be integral input-to-state stable (iISS). Time-delays are allowed to reside in both subsystems and interconnection channels, and may be both discrete and distributed. No assumption is made on the interconnection topology. This paper develops a small-gain methodology for constructin...

In this article, a new competitive neural network (CNN) with reaction-diffusion terms and mixed delays is proposed. Because system contains terms, it belongs to partial differential system, which different from the existing classic CNNs. First, taking into account spatial diffusion effect, we introduce for Furthermore, since time delay has an essential influence on properties of including time-...

This paper investigates the state prediction problems for uncertain Euler–Lagrange systems with large time delays during data transmissions. A set of sequential predictors is proposed to estimate actual real-time states by using delayed information measurements. The arbitrarily are handled applying adequate numbers serial sub-predictors. Meanwhile, novel structure each subsystem designed deal n...