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Optimizing the Process Parameters of GMV Controller by PSO Tuning Method

System modeling is very important to develop a mathematical model that describes the dynamics of a system. This work proposes a modeling and designing a Generalized Minimum Variance (GMV) controller using self-tuning and Particle Swarm Optimization (PSO) tuning method for a hot air blower system. Pa...

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書誌詳細
主要な著者:	Siti Fatimah, Sulaiman, Hazli Rafis, Abdul Rahim, Siti Halma, Johari, Khairuddin , Osman, Amar Faiz, Zainal Abidin, Mohd Fua'ad , Rahmat
フォーマット:	論文
言語:	English
出版事項:	2013
主題:	TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	http://eprints.utem.edu.my/id/eprint/11433/1/Optimizing_the_Process_Parameters_of_GMV_Controllers_by_PSO_Tuning_Method.pdf http://eprints.utem.edu.my/id/eprint/11433/
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