In this paper, the finite-time synchronization problems of two types of driven-response
memristor neural networks (MNNs) without time-delay and with time-varying delays are …

Interval prediction of electric load has aroused widespread concern by the power industry
because of variability and uncertainty. To quantify the potential uncertainty associated with …

This article investigates the finite-time distributed $H_{\infty }$ filtering problem in sensor
networks with switching topology and two-channel stochastic attacks. The two-channel …

This paper addresses the problem of distributed event-triggered finite-time H ∞ filtering for
switched systems on sensor networks, subject to two-channel network attacks and …

Lithium-ion batteries are widely used in the electric vehicle industry due to their recyclability
and long life. However, a failure of lithium-ion batteries can cause some catastrophic …

This paper investigates the finite/fixed-time synchronization problem of delayed inertial
memristive neural networks (DIMNNs) using interval matrix-based methods within a unified …

The finite-time stochastically boundedness (FTSB) and the finite-time strictly stochastically
exponential dissipative (FTSSED) control problems for the stochastic interval systems, which …

In this paper, the finite-time stabilization (FTS) issues of singular stochastic time-varying
systems (SSTVSs) with time-varying delay are explored based on fuzzy control and the interval …

The synchronization problem of bidirectional associative memory memristive neural networks
(BAMMNNs) with time-varying delays plays an essential role in the implementation and …

This article mainly addresses the problems of fixed-time stabilization(FTS) and fixed-time
projective synchronization(FTPS) for the chaotic inertial neural networks(INNs) with mixed …