TY - JOUR
T1 - Event-Triggered State Estimation for Networked Switched Systems
T2 - An Output Predictor Approach
AU - Liu, Zhaoyong
AU - Tian, Yang
AU - Wang, Haoping
AU - Zheng, Gang
AU - Bejarano, Francisco Javier
N1 - Publisher Copyright:
© 2007-2012 IEEE.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - In this article, we investigate the event-triggered state estimation for networked switched systems with (a)synchronous switching. A new multimode output predictor-based sampled-data observer and an event-triggered mechanism are proposed. Between event-triggered sampling times, an output predictor is utilized to compensate for the impact of sampling, and at the sampling instants, the predicted output is reset with the updated sampled output. Two scenarios are considered: the observer's switching signal is synchronous with the system's switching signal, and the switching signals among them are asynchronous, and frequent switching is allowed during interevent intervals. Average dwell time and linear matrix inequalities techniques are employed to guarantee the global uniform exponential convergence of the proposed observer. Moreover, Zeno phenomenon can be ruled out by proving the existence of a positive lower bound of interevent intervals. Finally, the effectiveness of the proposed approach is illustrated by a circuit system and an academic example.
AB - In this article, we investigate the event-triggered state estimation for networked switched systems with (a)synchronous switching. A new multimode output predictor-based sampled-data observer and an event-triggered mechanism are proposed. Between event-triggered sampling times, an output predictor is utilized to compensate for the impact of sampling, and at the sampling instants, the predicted output is reset with the updated sampled output. Two scenarios are considered: the observer's switching signal is synchronous with the system's switching signal, and the switching signals among them are asynchronous, and frequent switching is allowed during interevent intervals. Average dwell time and linear matrix inequalities techniques are employed to guarantee the global uniform exponential convergence of the proposed observer. Moreover, Zeno phenomenon can be ruled out by proving the existence of a positive lower bound of interevent intervals. Finally, the effectiveness of the proposed approach is illustrated by a circuit system and an academic example.
KW - (A)synchronous switching
KW - average dwell time (ADT)
KW - event-triggered mechanism
KW - networked switched system
KW - sampled-data observer
UR - http://www.scopus.com/inward/record.url?scp=85153800600&partnerID=8YFLogxK
U2 - 10.1109/JSYST.2023.3266035
DO - 10.1109/JSYST.2023.3266035
M3 - Artículo
AN - SCOPUS:85153800600
SN - 1932-8184
VL - 17
SP - 4650
EP - 4659
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 3
ER -