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Volumn , Issue , 2011, Pages 4798-4803

A control engineering approach for designing an optimized treatment plan for fibromyalgia

Author keywords

fibromyalgia; hybrid model predictive control; optimized behavioral interventions; system identification

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); RELIGIOUS BUILDINGS;

EID: 80053142146     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acc.2011.5991518     Document Type: Conference Paper
Times cited : (17)

References (11)
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  • 2
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    • Using engineering control principles to inform the design of adaptive interventions a conceptual introduction
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    • Fibromyalgia symptoms are reduced by low-dose naltrexone: A pilot study
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    • Younger, J.1    Mackey, S.2
  • 5
    • 77950844003 scopus 로고    scopus 로고
    • Ultra-low dose naltrexone attenuates chronic morphine-induced gliosis in rats
    • T. M. Mattiloi, B. Milne, and C.M. Cahill. Ultra-low dose naltrexone attenuates chronic morphine-induced gliosis in rats. Molecular Pain, 6(22):1-11, 2010.
    • (2010) Molecular Pain , vol.6 , Issue.22 , pp. 1-11
    • Mattiloi, T.M.1    Milne, B.2    Cahill, C.M.3
  • 7
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    • A novel model predictive control formulation for hybrid systems with application to adaptive behavioral interventions
    • June
    • Naresh N. Nandola and Daniel E. Rivera. A novel model predictive control formulation for hybrid systems with application to adaptive behavioral interventions. In Proceedings of the 2010 American Control Conference, pages 6286-6292, June 2010.
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  • 8
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  • 9
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    • Tuning of model predictive controllers for robust performance
    • J. H. Lee and Z. H. Yu. Tuning of model predictive controllers for robust performance. Comp. and Chem. Engg., 18(1):15-37, 1994.
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  • 10
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    • Model predictive control for tactical decision-making in semiconductor manufacturing supply chain management
    • Sep.
    • W. Wang and D.E. Rivera. Model predictive control for tactical decision-making in semiconductor manufacturing supply chain management. Control Systems Technology, IEEE Transactions on, 16(5):841-855, Sep. 2008.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.