Journal
CONTROL ENGINEERING PRACTICE
Volume 33, Issue -, Pages 161-173Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.conengprac.2014.09.011
Keywords
Optimized adaptive behavioral interventions; Fibromyalgia; System identification; Hybrid model predictive control; Biomedical applications
Funding
- Office of Behavioral and Social Sciences Research (OBSSR) of the National Institutes of Health (NIH)
- National Institute on Drug Abuse (NIDA) [R21 DA024266, K25 DA021173]
- American Fibromyalgia Syndrome Association (AFSA)
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The term adaptive intervention is used in behavioral health to describe individually tailored strategies for preventing and treating chronic, relapsing disorders. This paper describes a system identification approach for developing dynamical models from clinical data, and subsequently, a hybrid model predictive control scheme for assigning dosages of naltrexone as treatment for fibromyalgia, a chronic pain condition. A simulation study that includes conditions of significant plant-model mismatch demonstrates the benefits of hybrid predictive control as a decision framework for optimized adaptive interventions. This work provides insights on the design of novel personalized interventions for chronic pain and related conditions in behavioral health. (C) 2014 Elsevier Ltd. All rights reserved.
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