Stochastic quantized control for memristive neural networks with mixed semi-Markov jump and sampled-data communications using a novel approach

L Xiong, L Cai, J Cao, T Wu, H Zhang - Knowledge-Based Systems, 2023 - Elsevier
In this paper, the issue of stability and stabilization for semi-Markov jump memristive neural
networks (SMJMNNs) with stochastic quantized sampled-data control (QSDC) law is …

Intermittent sampled-data control for exponential synchronization of chaotic delayed neural networks via an interval-dependent functional

Y Ni, Z Wang - Expert Systems with Applications, 2023 - Elsevier
This paper focuses on the exponential synchronization of chaotic delayed neural networks
(CDNNs) via the intermittent sampled-data control (ISC). To save the control cost and limited …

A novel adaptive event‐triggered security consensus control mechanism for leader‐following multi‐agent systems under hybrid random cyber attacks

L Xiong, K Chen, J Cao, Y Zhang - International Journal of …, 2024 - Wiley Online Library
Aiming at the security consensus control problem of leader‐following multi‐agent systems
(MASs) under hybrid random cyber attack, this article proposes a novel sampled information …

Reachable set estimation and stochastic sampled-data exponential synchronization of Markovian jump neural networks with time-varying delays

L Wang, J Xia, JH Park, G Chen, X Xie - Neural Networks, 2023 - Elsevier
In this paper, the stochastic sampled-data exponential synchronization problem for
Markovian jump neural networks (MJNNs) with time-varying delays and the reachable set …

Synchronisation and topology identification of stochastic delayed multi-group models with multi-dispersal and Markovian switching

C Zhang, Y Feng, R Li, H Yang - International Journal of Systems …, 2023 - Taylor & Francis
This paper is concerned with the synchronisation and topology identification of stochastic
delayed multi-group models with multi-dispersal and Markovian switching (SDMM). Our …

Exponential Asynchronous Stabilization for Delayed Semi-Markovian Neural Networks via DAEIC

H Zhang, J Na, L Xiong, J Cao - IEEE Transactions on Neural …, 2024 - ieeexplore.ieee.org
The exponential asynchronous stabilization (EAS) issue for a category of neural networks
(NNs) with semi-Markov jump (SMJ) parameters and additive time-varying delays (ATDs) is …

Exponential stability of discrete-time systems with slowly time-varying delays

D Chen, X Liu, K Shi, S Shao, H Wang - Nonlinear Analysis: Hybrid …, 2022 - Elsevier
Slowly time-varying delays are seldom, but do need to be, considered in the context of
discrete-time systems. This paper addresses the exponential stability issue of discrete-time …

Finite-time synchronization of quantized markovian-jump time-varying delayed neural networks via an event-triggered control scheme under actuator saturation

S Shanmugam, R Vadivel, N Gunasekaran - Mathematics, 2023 - mdpi.com
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 …

Synchronization of stochastic switching complex networks with a target of nonzero inputs

H Tian, P Wang - International Journal of Adaptive Control and …, 2024 - Wiley Online Library
In this article, we study the mean square synchronization problems for complex networks
with a target of nonzero inputs under stochastic switching topology that is driven by an …

Sampled‐data synchronization of singular Markovian jump system: Application to DC motor model

L Wang, G Chen, T Yang, J Xia - IET Cyber‐Physical Systems …, 2022 - Wiley Online Library
Sampled‐data synchronization problem for singular Markovian jump systems (SMJSs)
subject to aperiodic sampled‐data control is investigated. Firstly, via constructing mode …