A Comparison of DE and SFLA Optimization Algorithms in Tuning Parameters of Fuzzy Logic Controller
نویسندگان
چکیده
منابع مشابه
A Comparison of DE and SFLA Optimization Algorithms in Tuning Parameters of Fuzzy Logic Controller
The paper presents using Differential Evolution (DE) and Shuffled Frog Leaping Algorithm (SFLA) to optimally tune parameters of a fuzzy logic controller stabilizing a rotary inverted pendulum system at its upright equilibrium position. Both the DE and SFLA are meta-heuristic search methods. DE belongs to the class of evolutionary algorithms while SFLA is inspired from the memetic evolution of a...
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In this paper several tuning methods for Sugeno's fuzzy systems wiu be discussed. &t 4he first case the fuzzy controller is identified off-line based on training data. Following this approach, first the structure of the controller is identified by means of a clustering algorithm. A Kohonen se4f-organizing neural network performs this task. TheE the parameters of the fuzzy controlier (ie. member...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016912557