This paper investigates the problem of fault detection for nonlinear discrete-time networked
systems under an event-triggered scheme. A polynomial fuzzy fault detection filter is …

This paper proposes a novel hybrid learning algorithm with stable learning laws for Adaptive
Network-based Fuzzy Inference System (ANFIS) as a system identifier. The proposed hybrid …

This paper introduces sufficient conditions for the exponential stability of type-1 and type-2
Takagi–Sugeno–Kang (TSK) fuzzy systems. A major advantage of the new conditions is that …

In this paper, a new approach for the stability analysis of continuous-time Takagi–Sugeno
(TS) fuzzy system is proposed. The universe set is divided to subregions, and piecewise …

The main objective of this paper is to investigate the stability and stabilization problem of
fuzzy large-scale systems in which the system is composed of a number of Takagi–Sugeno …

This paper proposes a new observer design methodology for type-1 and type-2 Takagi-
Sugeno-Kang fuzzy systems. The design methodology does not require a common …

Previous studies have shown that the best way to achieve high throughput/Watt of a single
threaded application is by running it on an asymmetric multicore processor (AMP). AMPs …

This study suggests new learning laws for Adaptive Network based Fuzzy Inference System
that is structured on the basis of TSK type III as a system identifier. Stable learning …

In this paper a method for designing of nonlinear controller for a fuzzy model of Double
Inverted Pendulum is proposed. This system can be considered as a fuzzy large-scale …

Type-2 fuzzy systems provide good models for uncertain fuzzy systems. This paper
introduces three sufficient stability conditions for Takagi-Sugeno-Kang (TSK) type-2 fuzzy …