Event-triggered Non-fragile State Estimator Design for Interval Type-2 Takagi-Sugeno Fuzzy Systems via Quadratic Boundedness

This paper is focussed on the design issue of eventtriggered non-fragile state estimator towards interval type-2 fuzzy models confronted with bounded disturbances. The interval type- 2 Takagi-Sugeno fuzzy system model is employed to characterize the modeling uncertainties of complex nonlinear systems. A non-fragile estimator design scheme utilizing norm-bounded gain uncertainty is proposed to tackle the estimator gains changing. Meanwhile, the event-triggered correspondence mechanism is introduced for saving the limited network resources. A new fuzzy estimator synthesis design methodology is presented based on quadratic boundedness technology, the quadratic stability of the error dynamical system is guaranteed. The estimator gains are acquired in virtue of linear matrix inequality. An example is employed to verify the feasibility and applicability of the presented approach.