Journal ArticleDOI
Synchronization of Switched Neural Networks With Communication Delays via the Event-Triggered Control
Reads0
Chats0
TLDR
A novel event-triggered control law is proposed which could greatly reduce the number of control updates for synchronization tasks of coupled switched neural networks involving embedded microprocessors with limited on-board resources.Abstract:
This paper addresses the issue of synchronization of switched delayed neural networks with communication delays via event-triggered control. For synchronizing coupled switched neural networks, we propose a novel event-triggered control law which could greatly reduce the number of control updates for synchronization tasks of coupled switched neural networks involving embedded microprocessors with limited on-board resources. The control signals are driven by properly defined events, which depend on the measurement errors and current-sampled states. By using a delay system method, a novel model of synchronization error system with delays is proposed with the communication delays and event-triggered control in the unified framework for coupled switched neural networks. The criteria are derived for the event-triggered synchronization analysis and control synthesis of switched neural networks via the Lyapunov-Krasovskii functional method and free weighting matrix approach. A numerical example is elaborated on to illustrate the effectiveness of the derived results.read more
Citations
More filters
Journal ArticleDOI
An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems
TL;DR: An overview of recent advances in event-triggered consensus of MASs is provided and some in-depth analysis is made on several event- Triggered schemes, including event-based sampling schemes, model-based event-Triggered scheme, sampled-data-basedevent-trIGgered schemes), and self- triggered sampling schemes.
Journal ArticleDOI
Non-fragile memory filtering of T-S fuzzy delayed neural networks based on switched fuzzy sampled-data control
TL;DR: A modified loose-looped fuzzy membership functions (FMFs) dependent Lyapunov-Krasovskii functional (LKF) is constructed based on the information of the time derivative of FMFs, which involves not only a signal transmission delay but also switched topologies.
Journal ArticleDOI
A short-term power load forecasting model based on the generalized regression neural network with decreasing step fruit fly optimization algorithm
TL;DR: Together with the weather factors and the periodicity of short-term load, an effective STLF model based on the GRNN with decreasing step FOA was proposed and performance of the proposed SFOA-GRNN model is compared with other ANN on the basis of prediction error.
Journal ArticleDOI
Event-triggered sampling control for stability and stabilization of memristive neural networks with communication delays
TL;DR: This paper investigates the global asymptotic stability and stabilization of memristive neural networks (MNNs) with communication delays via event-triggered sampling control through a newly augmented Lyapunov-Krasovskii functional.
Journal ArticleDOI
Synchronization of Coupled Markovian Reaction–Diffusion Neural Networks With Proportional Delays Via Quantized Control
TL;DR: The asymptotic synchronization of coupled reaction–diffusion neural networks with proportional delay and Markovian switching topologies is considered in this brief where the diffusion space does not need to contain the origin.
References
More filters
Journal ArticleDOI
Neural-Network-Based Nonlinear Model Predictive Control for Piezoelectric Actuators
TL;DR: Experimental results show that the proposed NMPC approach for the displacement tracking problem of PEAs has satisfactory modeling and control performance and avoids the inversion imprecision problem encountered in the widely used inversion-based control algorithms.
Journal ArticleDOI
Adaptive backstepping synchronization of uncertain chaotic system
Yongguang Yu,Suochun Zhang +1 more
TL;DR: In this article, an adaptive backstepping design is proposed to synchronize two uncertain chaos systems, which can be applied to a variety of chaos systems and can be transformed into the so-called general strict feedback form no matter whether it contains external excitation or not.
Journal ArticleDOI
Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks
TL;DR: It is proved that the equilibrium point set of the proposed neural network is equivalent to the optimal solution of the original optimization problem by using the Lagrangian saddle-point theorem.
Journal ArticleDOI
Synchronization of Randomly Coupled Neural Networks With Markovian Jumping and Time-Delay
TL;DR: By designing a novel Lyapunov functional, using some inequalities and the properties of random variables, several delay-dependent synchronization criteria are derived for the coupled networks of continuous-time version and its discrete-time analogues.
Journal ArticleDOI
Synchronization control of stochastic delayed neural networks
TL;DR: In this article, synchronization control of stochastic neural networks with time-varying delays has been considered and a novel control method is given using the Lyapunov functional method and linear matrix inequality (LMI) approach.