We consider an arbitrary number of interconnected nonlinear systems with time-delays and investigate them in view of input-to-state stability (ISS). The useful tools for single time-delay systems, the ISS Lyapunov-Razumikhin functions and ISS Lyapunov-Krasovskii functionals are redefined and applied to interconnected systems. By the help of a smallgain condition we prove that the whole system w...

This article focuses on the design of an adaptive event-triggered sampled-data control (ETSDC) mechanism for synchronization reaction-diffusion neural networks (RDNNs) with random time-varying delays. Different from existing ETSDC schemes predetermined constant thresholds, is proposed RDNNs. The can be promptly adaptively adjusted since threshold function based current sampled and latest transm...

In this paper, we present a finite-time synchronization (FTS) for quantized Markovian-jump time-varying delayed neural networks (QMJTDNNs) via event-triggered control. The QMJTDNNs take into account the effects of quantization on system dynamics and utilize combination FTS communication to mitigate delays, error, efficient synchronization. We analyze convergence properties proposed method provi...

This paper focuses on the design of new optimal control algorithms for battery-supercapacitor hybrid energy storage system (HESS) with input saturation and time delay. Different from existing research results, a state feedback to track output DC bus voltage battery current is developed via state-space averaged model method. By fully considering delay information, proper Lyapunov-Krasovskii func...

This contribution is concerned with the robust stability analysis for linear systems with time-varying delay arising from networked control systems. The time-varying delay is supposed to be bounded and fast-varying. By constructing a new complete Lyapunov-Krasovskii functional, delay-dependent robust stability conditions are derived in terms of Linear Matrix Inequalities. The derivative of the ...

This article examines mixed ℋ -infinity and passivity synchronization of Markovian jumping neutral-type complex dynamical network (MJNTCDN) models with randomly occurring coupling delays actuator faults. The are considered to design the networks in practice. These complied certain Bernoulli distribut...

Stability analysis is a prerequisite and essential element of application and implementation processes in electrical and electronic fields [1]−[4]. Because time delays occur in many systems, including networked control systems, chemical processes, transportation systems, and neural networks, the issue of stability analysis for time-delay systems has received considerable attention during the la...

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...

Abstract The problem of asymptotic stability and extended dissipativity analysis for the generalized neural networks with interval discrete distributed time-varying delays is investigated. Based on a suitable Lyapunov–Krasovskii functional (LKF), an improved Wirtinger single integral inequality, novel triple convex combination technique, new criteria are achieved delays. By above methods, less ...