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Volumn 128-129, Issue , 2012, Pages 205-210

Regulation of PID controller parameters based on ant colony optimization algorithm in bending control system

Author keywords

Ant colony algorithm; Hydraulic bending system; Parameters regulation; PID controller

Indexed keywords

ANT COLONY ALGORITHMS; ANT COLONY OPTIMIZATION ALGORITHMS; BENDING CONTROL; CONTROL METHODS; CONTROL PERFORMANCE; DYNAMIC QUALITY; EXTERNAL DISTURBANCES; MATH MODEL; NON-LINEARITY; PARAMETERS REGULATION; PID CONTROLLERS; PID PARAMETERS TUNING; SELF ADAPTING; TIME VARYING; TUNING PARAMETER;

EID: 81055133350     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.128-129.205     Document Type: Conference Paper
Times cited : (3)

References (6)
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    • in Chinese
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    • Wang, Y.1    Liu, Y.2
  • 3
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    • Application of PID neural network in electro-hydraulic bending control system
    • in Chinese
    • Wang yiqun, Sun fu, Application of PID Neural Network in Electro-hydraulic Bending Control System, Machine Tool and Hydraulics, 2008, 36(3):83-85.(in Chinese)
    • (2008) Machine Tool and Hydraulics , vol.36 , Issue.3 , pp. 83-85
    • Wang, Y.1    Sun, F.2
  • 4
    • 0034612523 scopus 로고    scopus 로고
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    • (2000) Nature , vol.406 , Issue.6 , pp. 39-42
    • Dorigo, B.E.1    Theraulaz, G.M.2
  • 5
    • 28944454561 scopus 로고    scopus 로고
    • Ant colony optimization introduction and recent trends
    • Christian Blum, Ant Colony Optimization Introduction and Recent Trends, Physics of Life Reviews, 2005(2):353.
    • (2005) Physics of Life Reviews , Issue.2 , pp. 353
    • Blum, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.