Optimal tuning of interval type-2 fuzzy controllers for nonlinear servo systems using Slime Mould Algorithm

RE Precup, RC David, RC Roman… - … Journal of Systems …, 2023 - Taylor & Francis
This paper presents a novel application of the metaheuristic Slime Mould Algorithm (SMA) to
the optimal tuning of interval type-2 fuzzy controllers. Inserting the information feedback …

[图书][B] Data-driven model-free controllers

RE Precup, RC Roman, A Safaei - 2021 - taylorfrancis.com
This book categorizes the wide area of data-driven model-free controllers, reveals the exact
benefits of such controllers, gives the in-depth theory and mathematical proofs behind them …

A review on design and implementation of type‐2 fuzzy controllers

H Jahanshahi, A Yousefpour… - … Methods in the …, 2022 - Wiley Online Library
Nowadays, advances in different fields of technology have increased demands for reliable
controllers. Uncertainty and disturbances, which are inevitable in most real‐world systems …

A novel deep reinforcement learning controller based type-II fuzzy system: Frequency regulation in microgrids

MH Khooban, M Gheisarnejad - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The high-penetration of distributed generation technologies in the form of MicroGrids (MGs),
in recent years, has increased the risk of frequency instability since their energy is supplied …

Recent advances on the use of meta-heuristic optimization algorithms to optimize the type-2 fuzzy logic systems in intelligent control

MF Hamza, HJ Yap, IA Choudhury - Neural Computing and Applications, 2017 - Springer
Finding the appropriate values of parameters and structure of type-2 fuzzy logic systems is a
difficult and complex task. Many types of meta-heuristic algorithms have been used to find …

[PDF][PDF] Interval type-2 fuzzy sets and systems: Overview and outlook

WU Dongrui, Z Zhi-Gang, MO Hong, W Fei-Yue - ACTA Autom. Sin, 2020 - aas.net.cn
Type-1 fuzzy sets can model the linguistic uncertainty from a single user, ie, intra-personal
uncertainty. Type-1 fuzzy systems have been widely used in controls and machine learning …

A new intelligent hybrid control approach for DC–DC converters in zero-emission ferry ships

MH Khooban, M Gheisarnejad… - … on Power Electronics, 2019 - ieeexplore.ieee.org
Nowadays, sea traveling is increasing due to its practicality and low-cost. Ferry boats play a
significant role in the marine tourism industry to transfer passengers and tourists …

A fractional order general type-2 fuzzy PID controller design algorithm

JZ Shi - IEEE Access, 2020 - ieeexplore.ieee.org
Fractional order PID controller was received attentions in control problems for it had 2
freedom adjustable parameters. Practices had proved that better results could be obtained …

Type-2 fuzzy logic controllers made even simpler: From design to deployment for UAVs

A Sarabakha, C Fu, E Kayacan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper aims to provide a clear explanation of the role of the footprint of uncertainty (FOU)
parameters on the control signal generation and, thus, to increase the interpretability of …

Towards systematic design of general type-2 fuzzy logic controllers: analysis, interpretation, and tuning

A Sakalli, T Kumbasar… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article aims to provide a new perspective on how the deployment of general type-2
(GT2) fuzzy sets affects the mapping of a class of fuzzy logic controllers (FLCs). It is shown …