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[HTML][HTML] Optimization of fuzzy logic controller used for a differential drive wheeled mobile robot
The energy-efficient motion control of a mobile robot fueled by batteries is an especially
important and difficult problem, which needs to be continually addressed in order to prolong …
important and difficult problem, which needs to be continually addressed in order to prolong …
[HTML][HTML] Prediction and optimization of surface roughness in a turning process using the ANFIS-QPSO method
MS Alajmi, AM Almeshal - Materials, 2020 - mdpi.com
This study presents a prediction method of surface roughness values for dry and cryogenic
turning of AISI 304 stainless steel using the ANFIS-QPSO machine learning approach …
turning of AISI 304 stainless steel using the ANFIS-QPSO machine learning approach …
Different fuzzy control configurations tuned by the bees algorithm for LFC of two-area power system
This study develops and implements a design of the Fuzzy Proportional Integral Derivative
with filtered derivative mode (Fuzzy PIDF) for Load Frequency Control (LFC) of a two-area …
with filtered derivative mode (Fuzzy PIDF) for Load Frequency Control (LFC) of a two-area …
Robust optimal control of high-speed permanent-magnet synchronous motor drives via self-constructing fuzzy wavelet neural network
This article presents the design of an adaptive backstep** robust optimal control (ABROC)
approach for achieving performance with high dynamic of high-speed micro permanent …
approach for achieving performance with high dynamic of high-speed micro permanent …
[HTML][HTML] Stability and stabilization of ts fuzzy systems via line integral lyapunov fuzzy function
This paper is concerned with the stability and stabilization problem of a Takagi-Sugeno
fuzzy (TSF) system. Using a non-quadratic function (well-known integral Lyapunov fuzzy …
fuzzy (TSF) system. Using a non-quadratic function (well-known integral Lyapunov fuzzy …
Real-time interval type-2 fuzzy control of an unmanned aerial vehicle with flexible cable-connected payload
This study presents the design and real-time applications of an Interval Type-2 Fuzzy PID
(IT2-FPID) control system on an unmanned aerial vehicle (UAV) with a flexible cable …
(IT2-FPID) control system on an unmanned aerial vehicle (UAV) with a flexible cable …
A type-2 fuzzy controller for floating tension-leg platforms in wind turbines
This paper proposes a type-2 fuzzy controller for floating tension-leg platforms in wind
turbines. Its main objective is to stabilize and control offshore floating wind turbines exposed …
turbines. Its main objective is to stabilize and control offshore floating wind turbines exposed …
[HTML][HTML] Optimized Takagi–Sugeno Fuzzy Mixed H2/H∞ Robust Controller Design Based on CPSOGSA Optimization Algorithm for Hydraulic Turbine Governing …
L Li, J Qian, Y Zou, D Tian, Y Zeng, F Cao, X Li - Energies, 2022 - mdpi.com
The hydraulic turbine governing system (HTGS) is a complex nonlinear system that
regulates the rotational speed and power of a hydro-generator set. In this work, an …
regulates the rotational speed and power of a hydro-generator set. In this work, an …
[HTML][HTML] Adaptive fuzzy active-disturbance rejection control-based reconfiguration controller design for aircraft anti-skid braking system
Z Zhang, Z Yang, G Zhou, S Liu, D Zhou, S Chen… - Actuators, 2021 - mdpi.com
The aircraft anti-skid braking system (AABS) is an essential aero electromechanical system
to ensure safe take-off, landing, and taxiing of aircraft. In addition to the strong nonlinearity …
to ensure safe take-off, landing, and taxiing of aircraft. In addition to the strong nonlinearity …
An Improved Fuzzy Adaptive Iterated SCKF for Cooperative Navigation
C Shi, X Chen, J Wang - IEEE/ASME Transactions on …, 2024 - ieeexplore.ieee.org
To further improve the positioning accuracy of the multiple unmanned surface vessel (USV)
systems, we introduce an information fusion algorithm equipped with adaptive fuzzy logic …
systems, we introduce an information fusion algorithm equipped with adaptive fuzzy logic …