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 …

This paper presents a novel adaptive mode switching scheme for hypersonic morphing
aircraftwith retracted winglets based on type-2 Takagi-Sugeno-Kang (TSK) fuzzy sliding …

In this article, a novel structure of actor-critic learning based on an interval type-2 Takagi-
Sugeno-Kang fuzzy neural network (AC-IT2-TSK-FNN) is proposed. The proposed structure …

In this study, an adaptive interval type-2 Takagi-Sugeno-Kang fuzzy logic controller based
on reinforcement learning (AIT2-TSK-FLC-RL) is proposed. The proposed controller consists …

The purpose of this paper is to present a hybrid learning method for interval A2-C1 type-1
non-singleton type-2 TSK fuzzy logic system that uses the recursive orthogonal least …

This study introduces a general type-2 Takagi–Sugeno–Kang fuzzy controller (GT2-TSKFC)
for controlling uncertain systems. The proposed GT2-TSKFC uses equidistant type-2 …

In this paper, an adaptive Takagi–Sugeno (T–S) fuzzy controller based on reinforcement
learning for controlling the nonlinear dynamical systems is proposed. The parameters of the …

The process of permanent magnetic drive (PMD) presents high uncertainty under the
complex operating conditions. In this paper, a type of Takagi Sugeno Kang (TSK) interval …

This paper presents two approaches for the design of an interval Type-2 TSK Fuzzy Logic
System (FLS), taking into account the uncertainties about the consequent parameters. While …

This article proposes a novel adaptive switching control of hypersonic aircraft based on type-
2 Takagi–Sugeno–Kang fuzzy sliding mode control and focuses on the problem of stability …