ArticleProceedings of the ... American Control Conference. American Control Conference2014
Hybrid Model Predictive Control for Sequential Decision Policies in Adaptive Behavioral Interventions.
Article in Proceedings of the ... American Control Conference. American Control Conference, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03945266 (Control Systems Engineering for Optimizing a Prenatal Weight Gain Intervention), which is not on this map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Control Systems Engineering for Optimizing a Prenatal Weight Gain Intervention
Who cites it
11 citing papers in PubMed.
- Adaptive, behavioral intervention impact on weight gain, physical activity, energy intake, and motivational determinants: results of a feasibility trial in pregnant women with overweight/obesity.Journal of behavioral medicine · 2021Trial
- Gestational Weight Gain Intervention Impacts Determinants of Healthy Eating and Exercise in Overweight/Obese Pregnant Women.Journal of obesity · 2018Trial
- Healthy Mom Zone Adaptive Intervention With a Novel Control System and Digital Platform to Manage Gestational Weight Gain in Pregnant Women With Overweight or Obesity: Study Design and Protocol for a Randomized Controlled Trial.JMIR research protocols · 2025Article
- [A decision framework for an adaptive behavioral intervention for physical activity using hybrid model predictive control: illustration withRevista iberoamericana de automatica e informatica industrial · 2022Article
- Optimizing Behavioral Interventions to Regulate Gestational Weight Gain With Sequential Decision Policies Using Hybrid Model Predictive Control.Computers & chemical engineering · 2022Article
- Article
- Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2020Article
- Personalized models of physical activity responses to text message micro-interventions: A proof-of-concept application of control systems engineering methods.Psychology of sport and exercise · 2019Article
- Optimized Treatment of Fibromyalgia Using System Identification and Hybrid Model Predictive Control.Control engineering practice · 2014Article
- A control systems engineering approach for adaptive behavioral interventions: illustration with a fibromyalgia intervention.Translational behavioral medicine · 2014Article
- A Hybrid Model Predictive Control Strategy for Optimizing a Smoking Cessation Intervention.Proceedings of the ... American Control Conference. American Control Conference · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Control engineering offers a systematic and efficient method to optimize the effectiveness of individually tailored treatment and prevention policies known as adaptive or "just-in-time" behavioral interventions. The nature of these interventions requires assigning dosages at categorical levels, which has been addressed in prior work using Mixed Logical Dynamical (MLD)-based hybrid model predictive control (HMPC) schemes. However, certain requirements of adaptive behavioral interventions that involve sequential decision making have not been comprehensively explored in the literature. This paper presents an extension of the traditional MLD framework for HMPC by representing the requirements of sequential decision policies as mixed-integer linear constraints. This is accomplished with user-specified dosage sequence tables, manipulation of one input at a time, and a switching time strategy for assigning dosages at time intervals less frequent than the measurement sampling interval. A model developed for a gestational weight gain (GWG) intervention is used to illustrate the generation of these sequential decision policies and their effectiveness for implementing adaptive behavioral interventions involving multiple components.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.