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Volumn 3, Issue , 2004, Pages 1931-1938

An efficient robust optimal design method for engineering systems with numerical noise

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; APPROXIMATION THEORY; ENGINEERING; FUNCTIONS; OPTIMAL CONTROL SYSTEMS; PROBLEM SOLVING; QUADRATIC PROGRAMMING; ROBUSTNESS (CONTROL SYSTEMS); SENSITIVITY ANALYSIS;

EID: 20344405226     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.2004-4474     Document Type: Conference Paper
Times cited : (1)

References (12)
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  • 2
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    • Hong, K.-J.1
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    • Using engineering models to control variability: Feasibility robustness for worst-case tolerances
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    • (1993) ASME Advances in Design Automation , vol.65 , Issue.1 , pp. 411-418
    • Parkinson, A.1    Emch, G.2
  • 6
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    • Parkinson, A.1    Emch, G.2
  • 7
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    • A procedure for robust design: Minimizing variations caused by noise factors and control factors
    • Chen, W., Tsui, K.Allen, J.K. and Mistree, F., "A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors," ASME Journal of Mechanical Design, Vol. 118, 1996, pp.478-485.
    • (1996) ASME Journal of Mechanical Design , vol.118 , pp. 478-485
    • Chen, W.1    Tsui, K.2    Allen, J.K.3    Mistree, F.4
  • 8
    • 84982318711 scopus 로고    scopus 로고
    • Automatic differentiation in robust optimization
    • Su, J. and Renaud, J. E., "Automatic differentiation in Robust Optimization," AIAA Journal, Vol.35, No. 6, 1996, pp.201-215.
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  • 9
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.