Lu, Zhongda; Lu, Junxiao; Zhang, Jiaqi; Xu, Fengxia Finite-time non-fragile filtering for nonlinear networked control systems via a mixed time/event-triggered transmission mechanism. (English) Zbl 1463.93239 Control Theory Technol. 18, No. 2, 168-181 (2020). Summary: This paper is aimed at investigating the problem of mixed time/event-triggered finite-time non-fragile filtering for nonlinear networked control systems with delay. First, a fuzzy nonlinear networked control system model is established by interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy model, the designed non-fragile filter resolves the filter parameter uncertainties and uses different membership functions from the IT2 T-S fuzzy model. Second, a novel mixed time/event-triggered transmission mechanism is proposed, which decreases the waste of network resources. Next, Bernoulli random variables are used to describe the cases of random switching mixed time/event-triggered transmission mechanism. Then, the error filtering system is designed by considering a Lyapunov function and a sufficient condition of finite-time boundedness. In addition, the existence conditions for the finite-time non-fragile filter are given by the linear matrix inequalities (LMIs). Finally, two simulation results are presented to prove the effectiveness of the obtained method. Cited in 2 Documents MSC: 93E11 Filtering in stochastic control theory 93C65 Discrete event control/observation systems 93B70 Networked control 93C10 Nonlinear systems in control theory 93C42 Fuzzy control/observation systems Keywords:interval type-2 Takagi-Sugeno fuzzy model; networked control systems; mixed time/event-triggered transmission mechanism; finite-time non-fragile filter PDFBibTeX XMLCite \textit{Z. Lu} et al., Control Theory Technol. 18, No. 2, 168--181 (2020; Zbl 1463.93239) Full Text: DOI