The Structure and Citation Landscape of IEEE Transactions on Fuzzy Systems (1994–2015)
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 …
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 …
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 …
approach. However, it unfortunately suffers from criticism of lacking of systematic stability …
Adaptive sliding mode control for Takagi–Sugeno fuzzy systems and its applications
This paper investigates the problem of adaptive integral sliding mode control for general
Takagi-Sugeno fuzzy systems with matched uncertainties and its applications. Different …
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
This paper presents an integrated interval type-2 fuzzy logic approach that simultaneously
models and controls an underactuated mobile two-wheeled inverted pendulum (MTWIP) …
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
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 …
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 …
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 …
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
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 …
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
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 …
systems against bounded cyberattack. A novel memory-based event triggering mechanism …