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Journal ArticleDOI

PID-type fuzzy logic controller tuning based on particle swarm optimization

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TLDR
Simulation and experimental results show the advantages of the designed PSO-tuned PID-type FLC structures in terms of efficiency and robustness.
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This article is published in Engineering Applications of Artificial Intelligence.The article was published on 2012-04-01. It has received 118 citations till now. The article focuses on the topics: Multi-swarm optimization & Fuzzy control system.

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Citations
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Journal ArticleDOI

Grey Wolf Optimizer Algorithm-Based Tuning of Fuzzy Control Systems With Reduced Parametric Sensitivity

TL;DR: The tuning approach is validated in an experimental case study of a position control for a laboratory nonlinear servo system, and TSK PI-FCs with a reduced process small time constant sensitivity are offered.
Journal ArticleDOI

Insight into pressure-swing distillation from azeotropic phenomenon to dynamic control

TL;DR: In this article, the authors describe the development of pressure-swing distillation (PSD), including all of the main aspects related to thermodynamic analysis, Quantitative structure property relationship (QSPR), process design, process intensification, and dynamic control.
Journal ArticleDOI

An overview on fault diagnosis and nature-inspired optimal control of industrial process applications

TL;DR: The generic theory is discussed along with illustrative industrial process applications that include a real liquid level control application, wind turbines and a nonlinear servo system and nature-inspired optimal control.
Journal ArticleDOI

Fuzzy PID supervised online ANFIS based speed controller for brushless dc motor

TL;DR: The simulation results under MATLAB environment have predicted better performance with fuzzy PID supervised online ANFIS controller under all operating conditions of the drive.
Journal ArticleDOI

Grey Wolf Optimizer-Based Approach to the Tuning of Pi-Fuzzy Controllers with a Reduced Process Parametric Sensitivity

TL;DR: The use of Grey Wolf Optimizer algorithms to tune the parameters of Takagi-Sugeno proportional-integral-fuzzy controllers (PI-FCs) for a class of nonlinear servo systems is suggested.
References
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Book

Genetic algorithms in search, optimization, and machine learning

TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.

Genetic algorithms in search, optimization and machine learning

TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Proceedings ArticleDOI

A new optimizer using particle swarm theory

TL;DR: The optimization of nonlinear functions using particle swarm methodology is described and implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm.
Journal ArticleDOI

Fuzzy logic in control systems: fuzzy logic controller. II

TL;DR: The basic aspects of the FLC (fuzzy logic controller) decision-making logic are examined and several issues, including the definitions of a fuzzy implication, compositional operators, the interpretations of the sentence connectives 'and' and 'also', and fuzzy inference mechanisms, are investigated.
Journal Article

Fuzzy logic in control systems : fuzzy logic controller. Part II

TL;DR: The fuzzy logic controller (FLC) based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy.
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