TY - JOUR
T1 - Event-triggered finite-time H∞ filtering for networked systems under deception attacks
AU - Wu, Jiancun
AU - Peng, Chen
AU - Zhang, Jin
AU - Zhang, Bao Lin
N1 - Publisher Copyright:
© 2019 The Franklin Institute
PY - 2020/4
Y1 - 2020/4
N2 - This paper is concerned with event-triggered H∞ filter design for a networked system suffering stochastic deception attacks in the sense of finite-time boundedness. Firstly, a networked filtering error model is well constructed by taking the effect of deception attacks and event-triggered scheme into account. Then, two sufficient conditions are derived to ensure that the resultant filtering error system is finite-time bounded with a prescribed H∞ performance, where the feasible H∞ filter parameters and the event-triggered communication parameters can be obtained in a unified framework. Finally, the effectiveness of proposed method is demonstrated through a tunnel diode circuit system.
AB - This paper is concerned with event-triggered H∞ filter design for a networked system suffering stochastic deception attacks in the sense of finite-time boundedness. Firstly, a networked filtering error model is well constructed by taking the effect of deception attacks and event-triggered scheme into account. Then, two sufficient conditions are derived to ensure that the resultant filtering error system is finite-time bounded with a prescribed H∞ performance, where the feasible H∞ filter parameters and the event-triggered communication parameters can be obtained in a unified framework. Finally, the effectiveness of proposed method is demonstrated through a tunnel diode circuit system.
UR - http://www.scopus.com/inward/record.url?scp=85081919813&partnerID=8YFLogxK
U2 - 10.1016/j.jfranklin.2019.09.002
DO - 10.1016/j.jfranklin.2019.09.002
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:85081919813
SN - 0016-0032
VL - 357
SP - 3792
EP - 3808
JO - Journal of the Franklin Institute
JF - Journal of the Franklin Institute
IS - 6
ER -