Event-Triggered Fuzzy Filtering for Networked Systems With Application to Sensor Fault Detection

Fault Detection for Interval Type-2 T-S Fuzzy Networked Systems via Event-Triggered Control

“…The event-triggered mechanism has irreplaceable advantages in the network resource-constrained system. The research on fault diagnosis technology of networked systems with event-triggered mechanisms has received extensive attention from international scholars, which has become a hot research issue in the academic community of automatic control and produced many valuable research results [8,9,[15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32].…”

“…Different event triggering methods are studied such as the adaptive event-triggering mechanism [5,10,22,23,27,29,32], the dynamic event triggering mechanism containing internal dynamic variables [19,28,31], the event triggering mechanism designed by improving constant thresholds [8,15,16,20,21,25,26]. The fault filtering problem of NCSs with interval time-varying time lags is studied by using the fuzzy fault detection filter with a generic structure [17]. The authors in [22] propose a novel adaptive event-triggered fault detection approach for Markov jump systems, wherein the transition probabilities are not required to be fully known.…”

Adaptive event‐triggered quantized H∞ fuzzy filtering for T‐S fuzzy systems via fuzzy Lyapunov–Krasovskii functional method

“…It has been shown that T‐S fuzzy model, 26 which can approximate any smooth nonlinear system to any degree of accuracy by using a set of local linear models, 27 is an effective tool to deal with nonlinear systems. Due to the advantage of ETC scheme and T‐S model, event‐triggered filtering approaches for T‐S fuzzy systems have been proposed in available literatures 28‐31 . Gu et al 29 and Tan et al 31 studied event‐triggered $$$ {H}_{\infty } $$$ filtering for T‐S fuzzy systems with asynchronous constraints.…”

“…Due to the advantage of ETC scheme and T‐S model, event‐triggered filtering approaches for T‐S fuzzy systems have been proposed in available literatures 28‐31 . Gu et al 29 and Tan et al 31 studied event‐triggered $$$ {H}_{\infty } $$$ filtering for T‐S fuzzy systems with asynchronous constraints. Wang et al 28 investigated the problem of event‐triggered fuzzy filter design for nonlinear NCSs.…”

Event-Triggered Mixed Non-Fragile and Measurement Quantization Filtering Design for Interval Type-2 Fuzzy Systems

“…Through the T-S fuzzy framework, a robust fault detection filtering design was proposed for nonlinear switched stochastic systems in [22]. By the event-triggered scheme, the authors in [23] have focused on fault detection filtering problem for nonlinear systems under the network environment. Using two-dimensional Roesser T-S fuzzy model, the authors in [24] have addressed positive filtering construction with induced 1 performance.…”