Results 21 to 30 of about 4,505,718 (403)
A computationally efficient fuzzy control s
This paper develops a decentralized fuzzy control scheme for MIMO nonlinear second order systems with application to robot manipulators via a combination of genetic algorithms (GAs) and fuzzy systems.
Abdel Badie Sharkawy
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An AEFA-Based Optimum Design of Fuzzy PID Controller for Attitude Control Flywheel with BLDC Motor
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
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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
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Adaptive Backstepping Fuzzy Control Based on Type-2 Fuzzy System
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
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The steering system in autonomous vehicles is an essential issue that must be addressed. Appropriate control will result in a smooth and risk-free steering system.
Bustanul Arifin +3 more
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A Simple Fuzzy PI Control of Dual-Motor Driving Servo System
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
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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
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A new approach to adaptive fuzzy control: the controller output error method [PDF]
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
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Optimization of compact fuzzy controllers used for temperature regulation
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
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FUZZY CONTROL FOR MULTIVARIABLE SYSTEMS
Abstract In this paper a fuzzy control algorithm for regulator control of multivariable systems based on a state space model of the system is introduced. Its application to several linear systems is illustrated and compared with systems controlled by means of linear feedback laws as obtained via an INA-design or linear output feedback.
A. Shakouri +3 more
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