The Structure and Citation Landscape of IEEE Transactions on Fuzzy Systems (1994–2015)

D Yu, Z Xu, Y Kao, CT Lin - IEEE Transactions on Fuzzy …, 2017 - ieeexplore.ieee.org
The IEEE Transactions on Fuzzy Systems (TFS) is a reputable international journal in the
research domain of computer science and engineering. This study surveys the TFS …

Quantized static output feedback fuzzy tracking control for discrete-time nonlinear networked systems with asynchronous event-triggered constraints

ZM Li, XH Chang, JH Park - IEEE Transactions on Systems …, 2019 - ieeexplore.ieee.org
In this article, the H∞ static output feedback tracking control problem is studied for discrete-
time nonlinear networked systems subject to quantization effects and asynchronous event …

A survey on analysis and design of model-based fuzzy control systems

G Feng - IEEE Transactions on Fuzzy systems, 2006 - ieeexplore.ieee.org
Fuzzy logic control was originally introduced and developed as a model free control design
approach. However, it unfortunately suffers from criticism of lacking of systematic stability …

Adaptive sliding mode control for Takagi–Sugeno fuzzy systems and its applications

H Li, J Wang, H Du, HR Karimi - IEEE Transactions on Fuzzy …, 2017 - ieeexplore.ieee.org
This paper investigates the problem of adaptive integral sliding mode control for general
Takagi-Sugeno fuzzy systems with matched uncertainties and its applications. Different …

Interval type-2 fuzzy logic modeling and control of a mobile two-wheeled inverted pendulum

J Huang, MH Ri, D Wu, S Ri - IEEE Transactions on Fuzzy …, 2017 - ieeexplore.ieee.org
This paper presents an integrated interval type-2 fuzzy logic approach that simultaneously
models and controls an underactuated mobile two-wheeled inverted pendulum (MTWIP) …

Network-based output tracking control for T–S fuzzy systems using an event-triggered communication scheme

D Zhang, QL Han, X Jia - Fuzzy sets and systems, 2015 - Elsevier
This paper is concerned with network-based output tracking control for a T–S fuzzy system.
An event-triggered communication scheme, under which the threshold depends on the latest …

[图书][B] Analysis and synthesis of fuzzy control systems: a model-based approach

G Feng - 2018 - books.google.com
Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex
systems in industry, and is often used with great success as an alternative to conventional …

TS fuzzy maximum power point tracking control of solar power generation systems

CS Chiu - IEEE transactions on energy conversion, 2010 - ieeexplore.ieee.org
This paper presents maximum power point tracking (MPPT) control for stand-alone solar
power generation systems via the Takagi–Sugeno (TS) fuzzy-model-based approach. In …

Fuzzy H Control of Discrete-Time Nonlinear Markov Jump Systems via a Novel Hybrid Reinforcement Q-Learning Method

J Wang, J Wu, H Shen, J Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, a novel hybrid reinforcement-learning control method is proposed to solve the
adaptive fuzzy control problem of discrete-time nonlinear Markov jump systems based on …

Memory-based continuous event-triggered control for networked T–S fuzzy systems against cyberattacks

Z Gu, P Shi, D Yue, S Yan, X Xie - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
This article investigates the problem of resilient control for the Takagi–Sugeno (T–S) fuzzy
systems against bounded cyberattack. A novel memory-based event triggering mechanism …