Type-2 FLCs: A new generation of fuzzy controllers

H Hagras - IEEE Computational Intelligence Magazine, 2007 - ieeexplore.ieee.org
Type-1 fuzzy logic controllers (FLCs) have been applied to date with great success to many
different applications. However, for dynamic unstructured environments and many real-world …

On the stability of interval type-2 TSK fuzzy logic control systems

M Biglarbegian, WW Melek… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Type-2 fuzzy logic systems have recently been utilized in many control processes due to
their ability to model uncertainties. This paper proposes a novel inference mechanism for an …

Fuzzy-logic based distributed energy-efficient clustering algorithm for wireless sensor networks

Y Zhang, J Wang, D Han, H Wu, R Zhou - Sensors, 2017 - mdpi.com
Due to the high-energy efficiency and scalability, the clustering routing algorithm has been
widely used in wireless sensor networks (WSNs). In order to gather information more …

Robust decentralized load frequency control of interconnected power system with generation rate constraint using type-2 fuzzy approach

KR Sudha, RV Santhi - International Journal of Electrical Power & Energy …, 2011 - Elsevier
The Load Frequency Control (LFC) problem has been a major subject in electrical power
system design/operation. LFC is becoming more significant recently with increasing size …

Derivation and analysis of the analytical structures of the interval type-2 fuzzy-PI and PD controllers

X Du, H Ying - IEEE Transactions on Fuzzy Systems, 2010 - ieeexplore.ieee.org
Research results on type-2 (T2) fuzzy control have started to emerge in the literature over
the past several years. None of these results, however, are concerned with the explicit input …

[图书][B] Power quality issues: current harmonics

S Mikkili, AK Panda - 2018 - taylorfrancis.com
Power Quality Issues: Current Harmonics provides solutions for the mitigation of power
quality problems related to harmonics. Focusing on active power filters (APFs) due to their …

On constructing parsimonious type-2 fuzzy logic systems via influential rule selection

SM Zhou, JM Garibaldi, RI John… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
Type-2 fuzzy systems are increasing in popularity, and there are many examples of
successful applications. While many techniques have been proposed for creating …

Type-2 fuzzy logic controllers: a way forward for fuzzy systems in real world environments

H Hagras - … Intelligence: Research Frontiers: IEEE World Congress …, 2008 - Springer
Abstract Type-1 Fuzzy Logic Controllers (FLCs) have been applied to date with great
success to different applications. However, for many real-world applications, there is a need …

Constructing optimized interval type-2 TSK neuro-fuzzy systems with noise reduction property by quantum inspired BFA

S Huang, M Chen - Neurocomputing, 2016 - Elsevier
In this paper, a modified rule generation approach with self-constructing property for neuro-
fuzzy system modelling is proposed. In structure identification stage, input–output patterns …

A fast algorithm to compute precise type-2 centroids for real-time control applications

S Chakraborty, A Konar, A Ralescu… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
An interval type-2 fuzzy set (IT2 FS) is characterized by its upper and lower membership
functions containing all possible embedded fuzzy sets, which together is referred to as the …