Stochastic quantized control for memristive neural networks with mixed semi-Markov jump and sampled-data communications using a novel approach
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 …
networks (SMJMNNs) with stochastic quantized sampled-data control (QSDC) law is …
Event-triggered control for Roesser model-based 2D Markov jump systems under stochastic communication protocol
Y Zhang, Y Ji, T Jiang, J Zhou - Circuits, Systems, and Signal Processing, 2024 - Springer
This paper is concerned with the event-triggered control problem for Roesser model-based
two-dimensional (2D) Markov jump systems with multiple communication channels. In order …
two-dimensional (2D) Markov jump systems with multiple communication channels. In order …
Variational inequalities of multilayer viscoelastic systems with interlayer Tresca friction: Existence and uniqueness of solution and convergence of numerical solution
The mathematical model of multilayer viscoelastic system based on the actual structure of
asphalt pavement and the properties of its numerical solutions are studied. Firstly, based on …
asphalt pavement and the properties of its numerical solutions are studied. Firstly, based on …
Event-triggered synchronization for delayed reaction–diffusion neural networks under hybrid deception attacks
Y Cao, Y Cao - Knowledge-Based Systems, 2024 - Elsevier
This paper focuses on designing some event-triggered mechanisms to synchronize the
delayed reaction–diffusion neural networks (DRDNNs) under hybrid stochastic deception …
delayed reaction–diffusion neural networks (DRDNNs) under hybrid stochastic deception …
Aperiodically Intermittent Fixed-Time Synchronization of Coupled Reaction-Diffusion Systems via Average Control Rate
J Liu, J Liu, Y Wu, C Mu, C Sun - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this study, the fixed-time synchronization (FTSn) problem is investigated for coupled
reaction-diffusion systems (RDSs) with time-varying delay based on an aperiodically …
reaction-diffusion systems (RDSs) with time-varying delay based on an aperiodically …
Synchronization of fractional-order quaternion-valued neural networks with image encryption via event-triggered impulsive control
The finite-time synchronization and impulsive synchronization of fractional-order quaternion-
valued neural networks (FOQVNNs) with delay are investigated in this research. To begin …
valued neural networks (FOQVNNs) with delay are investigated in this research. To begin …
Output Synchronization and PID Control for Directed Networks With Multiple Communications
S Lin, X Liu - IEEE Transactions on Systems, Man, and …, 2024 - ieeexplore.ieee.org
This article concerns output synchronization (OSyn) and proportional-integral-derivative
(PID) control problems for networks with directed and multiple output communications. Outer …
(PID) control problems for networks with directed and multiple output communications. Outer …
Protocol-Based Sampled-Data Control for TS Fuzzy Reaction-Diffusion Neural Networks
J Cheng, N Liu, L Rutkowski, J Cao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This study explores the protocol-based sampled-data control for TS fuzzy reaction-diffusion
neural networks (RDNNs) with nonhomogeneous sojourn probabilities (NSPs). By …
neural networks (RDNNs) with nonhomogeneous sojourn probabilities (NSPs). By …
Improved results for TS fuzzy systems with two additive time-varying delays via an extended binary quadratic function negative-determination lemma
Y Liu, K Zhou, S Zhong, K Shi, X Li - Fuzzy Sets and Systems, 2024 - Elsevier
This paper is concerned with the stability and stabilization problems for TS fuzzy systems
with two additive time-varying delays. Firstly, a novel Lyapounov-Krasovskii functional (LKF) …
with two additive time-varying delays. Firstly, a novel Lyapounov-Krasovskii functional (LKF) …
Fuzzy adaptive event-triggered synchronization control mechanism for T–S fuzzy RDNNs under deception attacks
In this paper, a fuzzy-dependent adaptive event-triggered mechanism (FAETM) for
synchronizing Takagi–Sugeno (T–S) fuzzy reaction–diffusion neural networks (RDNNs) is …
synchronizing Takagi–Sugeno (T–S) fuzzy reaction–diffusion neural networks (RDNNs) is …