淡江大學機構典藏:Item 987654321/127293
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/127293


    Title: Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers
    Authors: Juing-Shian Chiou, Huu-Khoa Tran, Shou-Tao Peng
    Date: 2015-10-12
    Issue Date: 2025-04-21 12:05:54 (UTC+8)
    Publisher: Wiley
    Abstract: Based on some sort of simplified fuzzy reasoning methods and PID parameters, many fuzzy-PID controller schemes are applied to control the complicated systems, recently. Mathematical optimization calculations are making in encouraging EP with PSO yielding a higher-quality solution. In this paper, a novel HEPSO algorithm as an improved variant of stochastic optimization strategy PSO, which assigns optimization to fuzzy-PID control gains, is established. The benefit integration design of the HEPSO algorithm structure is generating and updating the new parameters for the fuzzy-PID control schemes in the short setting and operation time. The proposed controllers have demonstrated performance to MAV models.
    Relation: Mathematical Problems in Engineering 2015(1),p. 684094
    DOI: 10.1155/2015/684094
    Appears in Collections:[Graduate Institute & Department of Information Management] Journal Article

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