DOI number:10.1109/TNNLS.2018.2873163
Affiliation of Author(s):广东工业大学自动化学院
Journal:IEEE Transactions on Neural Networks and Learning Systems
Key Words:deception attack, denial-of-service (DoS) attack, finite-horizon l2 − l∞ performance, Markovian jump neural networks (NNs), synchronization.
Abstract:This paper studies the synchronization issue of time-varying Markovian jump neural networks (NNs). The denial-of-service (DoS) attack is considered in the communication channel connecting master NNs and slave NNs. An observer is designed based on the measurements of master NNs transmitted over this unreliable channel to estimate their states. The deception attack is used to destroy the controller by changing the sign of the control signal. Then, the mixed-type attacks are expressed uniformly, and a synchronization error system is established using this function. A finite-horizon l 2 - l ∞ performance is proposed, and sufficient conditions are derived to ensure that the synchronization error system satisfies this performance. The controllers are then obtained by a recursive linear matrix inequality algorithm. At last, a simulation result to show the feasibility of the developed results is given.
First Author:xuyong
Indexed by:Journal paper
Discipline:Engineering
Document Type:J
Volume:30
Issue:6
Page Number:1695 - 1704
ISSN No.:30369455
Translation or Not:no
Date of Publication:2018-10-24
Links to published journals:https://ieeexplore.ieee.org/document/8506614