Results 21 to 30 of about 424,076 (355)
Adaptive Backstepping Fuzzy Control Based on Type-2 Fuzzy System
Journal of Applied Mathematics, 2012 A novel indirect adaptive backstepping control approach based on type-2 fuzzy system is developed for a class of nonlinear systems. This approach adopts type-2 fuzzy system instead of type-1 fuzzy system to approximate the unknown functions.
Ll Yi-Min, Yue Yang, Li Li
doaj +1 more source
Applied Artificial Intelligence, 2023 The precise control of a complex hydraulic drive system, which is mostly dependent on the speed control of the system working shaft, contributes to an improvement in product quality.
Feng He, Yuwei Dong, Bo Hu
doaj +1 more source
An AEFA-Based Optimum Design of Fuzzy PID Controller for Attitude Control Flywheel with BLDC Motor
Aerospace, 2022 A new method for optimizing the fuzzy PID controller, based on an artificial electric field algorithm (AEFA), is proposed in this paper, aiming at improving the stability indicator of the Brushless DC (BLDC) motor for the small satellite attitude control
Zhizhou Zhang, Yang Li
doaj +1 more source
A Simple Fuzzy PI Control of Dual-Motor Driving Servo System
MATEC Web of Conferences, 2017 Aiming at the control problem of dual-motor driving servo system, in order to avoid the complicated numerical calculation of complicated control algorithm, we presented a simple fuzzy PI controller for the first time. Firstly, we explained system control
Zhao Haibo, Wang Chengguang
doaj +1 more source
A new approach to adaptive fuzzy control: the controller output error method [PDF]
, 2002 The controller output error method (COEM) is introduced and applied to the design of adaptive fuzzy control systems. The method employs a gradient descent algorithm to minimize a cost function which is based on the error at the controller output.
Andersen, HC, Lotfi, A, Tsoi, AC
core +1 more source
Interval type‑2 fuzzy aggregation operator in decision making and its application [PDF]
, 2021 Type-2 fuzzy sets (T2FSs) can deal with higher modeling and uncertainties which exist in the real-world application, specifically in the control systems.
Broumi, Said +3 more
core +1 more source
天地一体化信息网络, 2023 The antenna tracking control system of satellite ground receiving station generally adopts PID control.Due to the infl uence of various uncertain factors, it is diffi cult to obtain the optimal control parameters for this kind of system, resulting in the
Haibin SHAN +6 more
doaj +2 more sources
Applied SciencesFuzzy-based control systems have demonstrated a remarkable ability to control nonlinear processes, a characteristic commonly observed in power systems, particularly in the context of power quality enhancement.
Anca Miron +2 more
doaj +1 more source
WindWind power output fluctuations, driven by variable wind speeds, create significant challenges for grid stability and the efficient use of wind turbines, particularly in high-wind-penetration areas.
Ali Aranizadeh +2 more
doaj +1 more source
Optimization of compact fuzzy controllers used for temperature regulation
Visión Electrónica, 2020 This document shows the optimization of different configurations of a compact fuzzy controller for temperature regulation in a room; such configurations are established considering the analogy with different discrete linear controllers; the model is ...
Helbert Eduardo Espitia Cuchango +2 more
doaj +1 more source