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 survey on fuzzy control for mechatronics applications

RE Precup, AT Nguyen, S Blažič - International Journal of Systems …, 2024 - Taylor & Francis
Fuzzy control has become one of the most effective tools for dealing with complex
engineering processes. Over the years, research on fuzzy control systems has continuously …

[HTML][HTML] Polytopic LPV approaches for intelligent automotive systems: State of the art and future challenges

P Li, AT Nguyen, H Du, Y Wang, H Zhang - Mechanical Systems and Signal …, 2021 - Elsevier
With more and more stringent requirements on driving comfort, safety and fuel economy,
polytopic LPV approaches have become popular in intelligent automotive control systems …

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 …

Control design for interval type-2 fuzzy systems under imperfect premise matching

HK Lam, H Li, C Deters, EL Secco… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
This paper focuses on designing interval type-2 (IT2) control for nonlinear systems subject to
parameter uncertainties. To facilitate the stability analysis and control synthesis, an IT2 …

[KSIĄŻKA][B] Stability analysis and nonlinear observer design using Takagi-Sugeno fuzzy models

Many problems in decision making, monitoring, fault detection, and control rely on the
knowledge of state variables and time-varying parameters that are not directly measured by …

Notice of violation of IEEE publication principles: Robust observer design for unknown inputs Takagi–Sugeno models

M Chadli, HR Karimi - IEEE Transactions on Fuzzy Systems, 2012 - ieeexplore.ieee.org
Notice of Violation of IEEE Publication Principles After careful consideration by a duly
constituted committee, an author of this article, Hamid Reza Karimi, was found to have acted …

Stability analysis of interval type-2 fuzzy-model-based control systems

HK Lam, LD Seneviratne - IEEE Transactions on Systems, Man …, 2008 - ieeexplore.ieee.org
This paper presents the stability analysis of interval type-2 fuzzy-model-based (FMB) control
systems. To investigate the system stability, an interval type-2 Takagi-Sugeno (TS) fuzzy …

Control synthesis of discrete-time T–S fuzzy systems via a multi-instant homogenous polynomial approach

X **e, D Yue, H Zhang, Y Xue - IEEE transactions on …, 2015 - ieeexplore.ieee.org
This paper deals with the problem of control synthesis of discrete-time Takagi-Sugeno fuzzy
systems by employing a novel multiinstant homogenous polynomial approach. A new …

A New Design of Delay-Dependent Robust ${\cal H} _ {\bm\infty} $ Filtering for Discrete-Time T--S Fuzzy Systems With Time-Varying Delay

J Qiu, G Feng, J Yang - IEEE Transactions on Fuzzy Systems, 2009 - ieeexplore.ieee.org
This paper investigates the problem of delay-dependent robust H infin filtering design for a
class of uncertain discrete-time state-delayed Takagi-Sugeno (TS) fuzzy systems. The state …