A survey on industrial applications of fuzzy control

RE Precup, H Hellendoorn - Computers in industry, 2011 - Elsevier
Fuzzy control has long been applied to industry with several important theoretical results
and successful results. Originally introduced as model-free control design approach, model …

Advanced control systems engineering for energy and comfort management in a building environment—A review

AI Dounis, C Caraiscos - Renewable and Sustainable Energy Reviews, 2009 - Elsevier
Given restrictions that comfort conditions in the interior of a building are satisfied, it becomes
obvious that the problem of energy conservation is a multidimensional one. Scientists from a …

[PDF][PDF] 及其面临的若干重要问题

胡包钢, 应浩 - 自动化学报, 2001 - researchgate.net
摘要简要回顾了模糊PID 控制器的研究发展状况, 系统地归纳了模糊PID 控制器的基本形式.
讨论了阻碍模糊控制技术发展的几个重要理论问题. 包括系统化设计方法, 控制性能优于传统PID …

A survey on analysis and design of model-based fuzzy control systems

G Feng - IEEE Transactions on Fuzzy systems, 2006 - ieeexplore.ieee.org
Fuzzy logic control was originally introduced and developed as a model free control design
approach. However, it unfortunately suffers from criticism of lacking of systematic stability …

Building Automation and Control Systems and performance optimization: A framework for analysis

N Aste, M Manfren, G Marenzi - Renewable and Sustainable Energy …, 2017 - Elsevier
The pressing global environmental issues are fostering a rapid change in the energy and
sustainability policies for the built environment. New paradigms are emerging, such as …

An improved robust fuzzy-PID controller with optimal fuzzy reasoning

HX Li, L Zhang, KY Cai, G Chen - IEEE Transactions on …, 2005 - ieeexplore.ieee.org
Many fuzzy control schemes used in industrial practice today are based on some simplified
fuzzy reasoning methods, which are simple but at the expense of losing robustness, missing …

Hardware/software implementation of fuzzy-neural-network self-learning control methods for brushless DC motor drives

A Rubaai, P Young - IEEE Transactions on Industry …, 2015 - ieeexplore.ieee.org
This paper presents a study of different fuzzy neural network (FNN) learning control methods
for brushless dc (BLDC) motor drives. The FNN combines fuzzy logic (FL) with the learning …

Design and implementation of parallel fuzzy PID controller for high-performance brushless motor drives: an integrated environment for rapid control prototyping

A Rubaai, MJ Castro-Sitiriche… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
This paper presents an integrated environment for the rapid prototyping of a robust fuzzy
proportional-integral-derivative (PID) controller that allows rapid realization of novel designs …

[PDF][PDF] A review on classical and fuzzy PID controllers

V Kumar, BC Nakra, AP Mittal - International Journal of Intelligent …, 2011 - researchgate.net
The industrial evidence shows that a classical PID controller is the most popular controller
due to its simplicity of operation and low cost. It has been realized that classical PID …

Modeling, simulation and experimental realization of a new nonlinear fuzzy PID controller using Center of Gravity defuzzification

D Sain, BM Mohan - ISA transactions, 2021 - Elsevier
Abstract Though Center of Gravity (CoG) defuzzification is a well-known and long-standing
method in the history of fuzzy systems, because of its computational complexity, its use in the …