Switching-like event-triggered state estimation for reaction–diffusion neural networks against DoS attacks
X Song, N Wu, S Song, V Stojanovic - Neural Processing Letters, 2023 - Springer
In this paper, event-triggered state estimation for reaction–diffusion neural networks
(RDNNs) subject to Denial-of-Service (DoS) attacks is investigated. A switching-like event …
(RDNNs) subject to Denial-of-Service (DoS) attacks is investigated. A switching-like event …
Event-triggered control for robust exponential synchronization of inertial memristive neural networks under parameter disturbance
Synchronization of memristive neural networks (MNNs) by using network control scheme
has been widely and deeply studied. However, these researches are usually restricted to …
has been widely and deeply studied. However, these researches are usually restricted to …
Fixed-time stabilization of discontinuous spatiotemporal neural networks with time-varying coefficients via aperiodically switching control
This paper focuses on the challenge of fixed-time control for spatiotemporal neural networks
(SNNs) with discontinuous activations and time-varying coefficients. A novel fixed-time …
(SNNs) with discontinuous activations and time-varying coefficients. A novel fixed-time …
Adaptive reinforcement learning neural network control for uncertain nonlinear system with input saturation
W Bai, Q Zhou, T Li, H Li - IEEE transactions on cybernetics, 2019 - ieeexplore.ieee.org
In this paper, an adaptive neural network (NN) control problem is investigated for discrete-
time nonlinear systems with input saturation. Radial-basis-function (RBF) NNs, including …
time nonlinear systems with input saturation. Radial-basis-function (RBF) NNs, including …
Network-based passive estimation for switched complex dynamical networks under persistent dwell-time with limited signals
In this paper, the state estimation issue for a set of switched complex dynamic networks
affected by quantization is studied, in which the switching process is assumed to follow …
affected by quantization is studied, in which the switching process is assumed to follow …
Impulsive synchronization of unbounded delayed inertial neural networks with actuator saturation and sampled-data control and its application to image encryption
The article considers the impulsive synchronization for inertial neural networks with
unbounded delay and actuator saturation via sampled-data control. Based on an impulsive …
unbounded delay and actuator saturation via sampled-data control. Based on an impulsive …
Recent advances on dynamical behaviors of coupled neural networks with and without reaction–diffusion terms
Recently, the dynamical behaviors of coupled neural networks (CNNs) with and without
reaction-diffusion terms have been widely researched due to their successful applications in …
reaction-diffusion terms have been widely researched due to their successful applications in …
Exponential synchronization of memristor-based competitive neural networks with reaction-diffusions and infinite distributed delays
L Wang, CK Zhang - IEEE Transactions on Neural Networks …, 2022 - ieeexplore.ieee.org
Taking into account the infinite distributed delays and reaction-diffusions, this article
investigates the global exponential synchronization problem of a class of memristor-based …
investigates the global exponential synchronization problem of a class of memristor-based …
Fuzzy sampled-data control for synchronization of T–S fuzzy reaction–diffusion neural networks with additive time-varying delays
This article focuses on the exponential synchronization problem of TS fuzzy reaction-
diffusion neural networks (RDNNs) with additive time-varying delays (ATVDs). Two control …
diffusion neural networks (RDNNs) with additive time-varying delays (ATVDs). Two control …