Review of recent type-2 fuzzy controller applications
Type-2 fuzzy logic controllers (T2 FLC) can be viewed as an emerging class of intelligent
controllers because of their abilities in handling uncertainties; in many cases, they have …
controllers because of their abilities in handling uncertainties; in many cases, they have …
Finite-time adaptive fuzzy tracking control design for nonlinear systems
This paper addresses the finite-time tracking problem of nonlinear pure-feedback systems.
Unlike the literature on traditional finite-time stabilization, in this paper the nonlinear system …
Unlike the literature on traditional finite-time stabilization, in this paper the nonlinear system …
Artificial bee colony based algorithm for maximum power point tracking (MPPT) for PV systems operating under partial shaded conditions
Artificial bee colony (ABC) algorithm has several characteristics that make it more attractive
than other bio-inspired methods. Particularly, it is simple, it uses fewer control parameters …
than other bio-inspired methods. Particularly, it is simple, it uses fewer control parameters …
Recent advances on the use of meta-heuristic optimization algorithms to optimize the type-2 fuzzy logic systems in intelligent control
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 …
difficult and complex task. Many types of meta-heuristic algorithms have been used to find …
A combined fuzzy approach to determine the best region for a nuclear power plant in Turkey
When increase in energy needs of developing countries cannot be met by conventional
energy sources, alternative energy sources are considered to substitute them. Nuclear …
energy sources, alternative energy sources are considered to substitute them. Nuclear …
Modified AHP for gene selection and cancer classification using type-2 fuzzy logic
T Nguyen, S Nahavandi - IEEE transactions on fuzzy systems, 2015 - ieeexplore.ieee.org
This paper proposes a modification to the analytic hierarchy process (AHP) to select the
most informative genes that serve as inputs to an interval type-2 fuzzy logic system (IT2FLS) …
most informative genes that serve as inputs to an interval type-2 fuzzy logic system (IT2FLS) …
Full state constraints and command filtering-based adaptive fuzzy control for permanent magnet synchronous motor stochastic systems
Q Jiang, J Liu, J Yu, C Lin - Information Sciences, 2021 - Elsevier
In this article, an adaptive fuzzy control scheme based on command filtering is proposed for
the position tracking control of permanent magnet synchronous motor (PMSM) stochastic …
the position tracking control of permanent magnet synchronous motor (PMSM) stochastic …
Distributed and asynchronous population-based optimization applied to the optimal design of fuzzy controllers
Designing a controller is typically an iterative process during which engineers must assess
the performance of a design through time-consuming simulations; this becomes even more …
the performance of a design through time-consuming simulations; this becomes even more …
Visual-servoing based global path planning using interval type-2 fuzzy logic control
Mobile robot motion planning in an unstructured, static, and dynamic environment is faced
with a large amount of uncertainties. In an uncertain working area, a method should be …
with a large amount of uncertainties. In an uncertain working area, a method should be …
Design and optimization of interval type-2 fuzzy logic controller for delta parallel robot trajectory control
XG Lu, M Liu, JX Liu - International Journal of Fuzzy Systems, 2017 - Springer
In the view of the problem of designing and optimization of interval type-2 fuzzy logic
controller (IT2 FLC) for Delta robot trajectory control, a systematic design method is put …
controller (IT2 FLC) for Delta robot trajectory control, a systematic design method is put …