TY - JOUR
T1 - A Mean-Rate Event-Triggered Mechanism for Nonlinear Plants With Weak Time Regularization
AU - Yu, Hao
AU - Chen, Tongwen
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2023/12/1
Y1 - 2023/12/1
N2 - This article proposes a new event-triggered mechanism for nonlinear plants with multiple communication networks. An auxiliary signal that contains a component to measure the (weighted) mean changing rates of measurement errors is employed and, hence, the induced event-triggered mechanism is termed as a mean-rate one. By incorporating this auxiliary signal into dynamic event-triggering conditions, the new mean-rate event-triggered mechanism can ensure closed-loop input-to-state stability with respect to external disturbances. To further improve transmission performance, a concept of weak time regularization is given and proved, where similar to traditional time regularization, no events can be triggered within a user-specified lower bound, but differently, the positiveness of this user-specified parameter is not necessary in excluding Zeno behavior. Finally, a nonlinear example is simulated to illustrate the feasibility and efficiency of the theoretical results.
AB - This article proposes a new event-triggered mechanism for nonlinear plants with multiple communication networks. An auxiliary signal that contains a component to measure the (weighted) mean changing rates of measurement errors is employed and, hence, the induced event-triggered mechanism is termed as a mean-rate one. By incorporating this auxiliary signal into dynamic event-triggering conditions, the new mean-rate event-triggered mechanism can ensure closed-loop input-to-state stability with respect to external disturbances. To further improve transmission performance, a concept of weak time regularization is given and proved, where similar to traditional time regularization, no events can be triggered within a user-specified lower bound, but differently, the positiveness of this user-specified parameter is not necessary in excluding Zeno behavior. Finally, a nonlinear example is simulated to illustrate the feasibility and efficiency of the theoretical results.
KW - Event-triggered control (ETC)
KW - mean-rate event-triggering condition
KW - nonlinear systems
KW - weak time regularization
UR - http://www.scopus.com/inward/record.url?scp=85149404469&partnerID=8YFLogxK
U2 - 10.1109/TCNS.2023.3244108
DO - 10.1109/TCNS.2023.3244108
M3 - Article
AN - SCOPUS:85149404469
SN - 2325-5870
VL - 10
SP - 1831
EP - 1843
JO - IEEE Transactions on Control of Network Systems
JF - IEEE Transactions on Control of Network Systems
IS - 4
ER -