Journal Article10.1016/J.NEUNET.2015.11.002
Event-triggered synchronization strategy for complex dynamical networks with the Markovian switching topologies
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TL;DR: By modeling the switching of network topologies as a Markov process, a novel event-triggered synchronization strategy is proposed and a sufficient condition for the mean square synchronization of the complex networks subject to Markovian switching topologies is established.
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About: This article is published in Neural Networks. The article was published on 01 Feb 2016. The article focuses on the topics: Synchronization (computer science) & Network topology.
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Citations
Fixed-Time Leader–Follower Consensus of Networked Nonlinear Systems via Event/Self-Triggered Control
TL;DR: This brief addresses the fixed-time event/self-triggered leader–follower consensus problems for networked multi-agent systems subject to nonlinear dynamics and proposes two new self-Triggered control strategies to avoid continuous triggering condition monitoring.
250
Neural Cryptography Based on Complex-Valued Neural Network
Tao Dong,Tingwen Huang +1 more
TL;DR: A neural cryptography based on the complex-valued tree parity machine network (CVTPM) is proposed, whose input, output, and weights are a complex value, which can be considered as an extension of TPM.
138
Stabilization of Neural-Network-Based Control Systems via Event-Triggered Control With Nonperiodic Sampled Data
TL;DR: The proposed triggering scheme enables the NNBCSs design to enjoy the advantages of both nonuniform and event-triggered sampling schemes, and guarantees the asymptotical stability of the closed-loop system and an upper bound on the given cost function while reducing the updates of the controller.
129
Finite-Time Passivity and Synchronization of Coupled Reaction–Diffusion Neural Networks With Multiple Weights
TL;DR: In this paper, two multiple weighted coupled reaction–diffusion neural networks (CRDNNs) with and without coupling delays are introduced and some finite-time passivity concepts are proposed for the spatially and temporally system with different dimensions of output and input.
119
An Event-Triggered Pinning Control Approach to Synchronization of Discrete-Time Stochastic Complex Dynamical Networks
Bing Li,Zidong Wang,Lifeng Ma +2 more
TL;DR: By using the Lyapunov function method and the stochastic analysis techniques, a general framework is established within which the problems of dynamics analysis and controller synthesis are solved for the closed-loop stochastically dynamical networks.
99
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