Fuzzy control systems: Past, present and future

AT Nguyen, T Taniguchi, L Eciolaza… - IEEE Computational …, 2019 - ieeexplore.ieee.org
More than 40 years after fuzzy logic control appeared as an effective tool to deal with
complex processes, the research on fuzzy control systems has constantly evolved. Mamdani …

A review on stability analysis of continuous-time fuzzy-model-based control systems: From membership-function-independent to membership-function-dependent …

HK Lam - Engineering Applications of Artificial Intelligence, 2018 - Elsevier
This paper reviews the stability analysis of continuous-time fuzzy-model-based (FMB)
control systems, with emphasis on state-feedback control techniques, which is an essential …

Hybrid data-driven fuzzy active disturbance rejection control for tower crane systems

RC Roman, RE Precup, EM Petriu - European Journal of Control, 2021 - Elsevier
This paper proposes the Virtual Reference Feedback Tuning (VRFT) of a combination of two
control algorithms, Active Disturbance Rejection Control (ADRC) as a representative data …

[图书][B] Fuzzy set theory—and its applications

HJ Zimmermann - 2011 - books.google.com
Since its inception, the theory of fuzzy sets has advanced in a variety of ways and in many
disciplines. Applications of fuzzy technology can be found in artificial intelligence, computer …

[图书][B] Robust model-based fault diagnosis for dynamic systems

J Chen, RJ Patton - 2012 - books.google.com
There is an increasing demand for dynamic systems to become more safe and reliable. This
requirement extends beyond the normally accepted safety-critical systems of nuclear …

[图书][B] Fuzzy control

KM Passino, S Yurkovich, M Reinfrank - 1998 - a-lab.ee
Fuzzy control is a practical alternative for a variety of challenging control applications since it
provides a convenient method for constructing nonlinear controllers via the use of heuristic …

Neuro-fuzzy modeling and control

JSR Jang, CT Sun - Proceedings of the IEEE, 1995 - ieeexplore.ieee.org
Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and
control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common …

Adaptive sliding mode control for interval type-2 fuzzy systems

H Li, J Wang, HK Lam, Q Zhou… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper is concerned with the adaptive sliding mode control problem of uncertain
nonlinear systems. Interval type-2 Takagi-Sugeno (TS) fuzzy model is employed to represent …

An approach to fuzzy control of nonlinear systems: Stability and design issues

HO Wang, K Tanaka, MF Griffin - IEEE transactions on fuzzy …, 1996 - ieeexplore.ieee.org
Presents a design methodology for stabilization of a class of nonlinear systems. First, the
authors represent a nonlinear plant with a Takagi-Sugeno fuzzy model. Then a model-based …

[图书][B] Introduction to fuzzy logic using MATLAB

SN Sivanandam, S Sumathi, SN Deepa - 2007 - Springer
The world we live in is becoming ever more reliant on the use of electronics and computers
to control the behavior of real-world resources. For example, an increasing amount of …