In this article, a novel Hammerstein structure is proposed for nonlinear networked systems
based on an interval type-2 Takagi–Sugeno–Kang (IT2TSK) fuzzy system. The proposed …

In this study, a novel structure of a recurrent interval type-2 Takagi-Sugeno-Kang (TSK) fuzzy
neural network (FNN) is introduced for nonlinear dynamic and time-varying systems …

In this paper, the problem of fuzzy predictive control of nonlinear networked control systems
subject to parameter uncertainties and defective communication links is studied. Stochastic …

In this article, the efficient model-predictive control (EMPC) problem of a class of nonlinear
systems in the framework of interval type-2 Takagi-Sugeno (IT2 TS) fuzzy is investigated. In …

In this paper, an adaptive fuzzy model predictive control is developed for networked
unknown nonlinear systems which are modeled by an interval type-2 (IT-2) Takagi–Sugeno …

A proposed learning methodology based on a hybrid mechanism for training interval A2-C1
type-2 non-singleton type-2 Takagi–Sugeno–Kang fuzzy logic systems uses a recursive …

Abstract Interval Type-2 fuzzy-neural-network (IT2FNN) has been widely used to model
nonlinear systems. In current IT2FNN-based schemes, however, one of the main drawbacks …

This paper concerns the use of fuzzy structures to model non linear dynamic systems. An
interval type-2 Takagi Sugeno Kang fuzzy logic systems (IT2 TSK FLSs) is proposed. The …

This article focuses on the issue of adaptive memory-event-triggered control for a class of
interval type-2 Takagi–Sugeno fuzzy system (IT-2 TSFS) subjected to network-induced …

A new fuzzy logic controller (FLC) for the Takagi–Sugeno (TS) fuzzy model based systems is
proposed in this paper. This new FLC has two consequents in each rule. They are a …