دورية أكاديمية

Optimized treatment of fibromyalgia using system identification and hybrid model predictive control

التفاصيل البيبلوغرافية
العنوان: Optimized treatment of fibromyalgia using system identification and hybrid model predictive control
المؤلفون: Deshpande, Sunil, Nandola, Naresh N., Rivera, Daniel E., Younger, Jarred W.
المساهمون: Office of Behavioral and Social Sciences Research (OBSSR), National Institute on Drug Abuse (NIDA), American Fibromyalgia Syndrome Association (AFSA)
المصدر: Control Engineering Practice ; volume 33, page 161-173 ; ISSN 0967-0661
بيانات النشر: Elsevier BV
سنة النشر: 2014
المجموعة: ScienceDirect (Elsevier - Open Access Articles via Crossref)
مصطلحات موضوعية: Applied Mathematics, Electrical and Electronic Engineering, Computer Science Applications, Control and Systems Engineering
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1016/j.conengprac.2014.09.011
الإتاحة: https://doi.org/10.1016/j.conengprac.2014.09.011Test
https://api.elsevier.com/content/article/PII:S0967066114002305?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0967066114002305?httpAccept=text/plainTest
حقوق: https://www.elsevier.com/tdm/userlicense/1.0Test/
رقم الانضمام: edsbas.2D4465
قاعدة البيانات: BASE