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

Hybrid‐triggered based reliable filter design for interval type‐2 fuzzy system under deception attacks and missing measurements

“…Presently, much effort has been instigated for filter design with IT-2 fuzzy systems. [16][17][18][19] Specifically, in Reference 18, the problem of extended dissipative filter design for Markov jump systems characterized with IT-2 fuzzy model has been investigated, whereas the stochastic asymptotic filtering criterion and extended dissipativity have been achieved simultaneously. Based upon the finite-time strategy, the problem of dissipative filter design for Markov jump systems described by the IT-2 fuzzy framework has been addressed in Reference 19 under adaptive event-triggered mechanism.…”

“…As a consequence, lot of intriguing and energy-efficient researches on event-triggered scheme have been reported. [15][16][17]19,21 Nevertheless, event-triggered scheme also degrades the system performance when the desired state fluctuates at some instants. For that, hybrid-triggered scheme has been introduced, 22 which enhances the system performance and saves the network resources.…”

“…Till present, a rich amount of research has been addressed on filtering analysis and design for state estimation (to mentioned a few, see References 13‐15). Presently, much effort has been instigated for filter design with IT‐2 fuzzy systems 16‐19 . Specifically, in Reference 18, the problem of extended dissipative filter design for Markov jump systems characterized with IT‐2 fuzzy model has been investigated, whereas the stochastic asymptotic filtering criterion and extended dissipativity have been achieved simultaneously.…”

“…To be precise, the superiority is that the present sampled data needs to be released only when the event‐triggered condition is violated. As a consequence, lot of intriguing and energy‐efficient researches on event‐triggered scheme have been reported 15‐17,19,21 . Nevertheless, event‐triggered scheme also degrades the system performance when the desired state fluctuates at some instants.…”

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

“…The networked systems have been widely used because of these many advantages, their simple physical structure, reduced integration costs, resource sharing, suitable for installation, expansion and maintenance [1,2]. In order to satisfy the development of aerospace and smart manufacturing, the networked systems have increasingly strong nonlinearity, uncertainty and complexity [3,4]. New challenges are brought to the control field to deal with problems such as delay, data packet loss and network bandwidth limitation caused by network introduction [5][6][7][8][9].…”