The cognitive bases for the design of a new class of fuzzy logic controllers: The clearness transformation fuzzy logic controller [PDF]
This paper analyses the internal operation of fuzzy logic controllers as referenced to the human cognitive tasks of control and decision making. Two goals are targeted.
Janabi, Talib, Sultan, Labib
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Genetic design of computed torque/fuzzy-logic controllers for robotic manipulators [PDF]
, 2002 B. Porter, N. Nariman-zadeh
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An Incorporated Use of Fuzzy Logic Toolbox and Modelica Library to Design SSSC Damping Controller
, 1970 Boonrat Somritvanitcha +2 more
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PENGATURAN KECEPATAN MOTOR INDUKSI TIGA FASA DENGAN TEKNIK ARTIFICIAL INTELEGENT BERBASIS VEKTOR KONTROL [PDF]
, 2011 Three phase induction motor has a weakness in controlling the speed which depends only on the input frequency, but this can be reduce with inverter technology.
Arman Jaya, ST. MT, arman +3 more
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Prediction of the weld pool geometry of TIG arc welding by using fuzzy logic controller
, 1970 HK Narang +3 more
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Smart torque control for overloaded motor using artificial intelligence approach [PDF]
, 2013 This project report presents a methodology for implementation of a rule-based fuzzy logic controller applied to an induction motor torque control. The designed Fuzzy Logic Controller’s performance is weighed against with that of a PI controller. The
Mohamed, Hazizul
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A self-learning and tuning fuzzy logic controller based on genetic algorithms and reinforcements
, 1997 Hung‐Yuan Chung, Chih-Kuan Chiang
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Zhongguo Jianchuan Yanjiu[Objectives] In order to suppress the occurrence of a massive bus voltage drop caused by a large-power pulsed load entering the Medium Voltage Direct Current (MVDC) power system of the ship and to maintain the bus voltage within the required safety ...
Guo Yi, Yu Shizhen, Guo Jiangchi, Li Han
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Development of a Crisp Fuzzy-Like Controller Using Formula-Based and Vectorized Approaches [PDF]
, 2006 Simplifying of implementation of linear state feedback fuzzy controllers is investigated through the thesis. One of the most important problems in fuzzy controller design is the number of fuzzy subsets (membership functions) for each fuzzy input/output
Mohammad, Karimadini
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