Distributed non-fragile filtering for T-S fuzzy systems with event-based communications

Robust adaptive filter using fuzzy logic for tightly‐coupled visual inertial odometry navigation system

“…Finally, the output data can be obtained by the defuzzification module. There are two major types of fuzzy rules that exist, namely, Mamdani fuzzy rules and Takagi–Sugeno (T–S) fuzzy rules [29, 31]. T–S fuzzy logic theory has been proved to be effective in dealing with various complex non‐linear systems, which has therefore received considerable research attention in [17, 31].…”

Non-fragile estimation for discrete-time T--S fuzzy systems with event-triggered protocol

“…For this purpose, the wellknown norm-bounded parameter uncertainties are employed to formulate the allowable range. This type of estimators is called as the non-fragile estimator [16,17,36,43]. In addition, random variables with known expectations and variances can also be utilized to characterize the allowable range.…”

“…Based on the local linearity, many complex nonlinear systems can be represented by T-S fuzzy models. As a result, there witnessed a rapidly growing interest in T-S fuzzy systems and many important results have been available, such as the stability and stabilization problems [18,24], the control problem [12,33,45,48] and the filtering problem [27,25,40,41,42,43].…”

“…Therefore, many scholars have begun to study how to design the estimator to maintain the stability of the corresponding closed-loop system when the parameters change within a certain range, but still meeting the corresponding performance requirements. This is the non-fragile estimator, which has been studied in [16,17,30,36,39,43]. Among them, a design method of non-fragile filter has been investigated in [16] for uncertain systems with stochastic uncertainties and incomplete measurements.…”

Energy-efficient filtering algorithm for a class of industrial sensor network systems with packet dropouts, time-varying delay, and multiplicative noises

“…During recent years, the event-triggered communication mechanism has been successfully applied to controller design for various engineer systems, such as networked systems [25,26] and multi-agent systems [27][28][29]. Also, some results about event-based filter design have appeared, see for example [30][31][32][33][34]. However, when it comes to the industrial sensor network systems, considering the inevitable network-induced phenomena, the event-based filter design approach has not been adequately investigated and still has many problems needed to be solved.…”