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Volumn , Issue , 2010, Pages 305-313

A comparative study of PID controller thning using GA, EP, PSO and ACO

Author keywords

Ant colony algorithm; Evolutionary programming; Genetic algorithm particle swarm optimization and soft computing

Indexed keywords

ANT COLONY ALGORITHMS; COMPARATIVE STUDIES; EVOLUTIONARY PROGRAMMING; OPTIMUM STABILITY; PID CONTROLLERS; PID PARAMETERS; REGULATORY CHANGE; SET-POINT TRACKING; SOFTCOMPUTING TECHNIQUES; TIME-DOMAIN SPECIFICATIONS;

EID: 78751556972     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCCT.2010.5670571     Document Type: Conference Paper
Times cited : (120)

References (16)
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    • Saba, S.1
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    • 0-7803-5529-6/99/Q1999 IEEE
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    • IEEE Proceedings , pp. 2210-2215
    • Hwang, H.-S.1    Choi, J.-N.2    Lee, W.-H.3
  • 10
    • 0003668814 scopus 로고    scopus 로고
    • Denmark.Tech. Report no 98- H 871(fpid), 30 Sep
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    • (1998) Tuning of Fuzzy PID Controllers , pp. 1-22
    • Jantzen, J.1
  • 11
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    • July
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    • Multi-Objective Ant Colony Optimization to tuning PID Controller
    • march
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    • (2010) Proceedings of the International Journal of Engineering , vol.3 , Issue.2
    • Chiha, I.1    Borne, P.2
  • 13
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    • Ant colonies for adaptive routing in packet switched communications network
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    • Dicaro, G.1    Dorigo, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.