ArticleProceedings of the ... American Control Conference. American Control Conference2013
Hybrid Model Predictive Control for Optimizing Gestational Weight Gain Behavioral Interventions.
Article in Proceedings of the ... American Control Conference. American Control Conference, 2013. 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 17 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
17 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
- Uncontrolled Eating during Pregnancy Predicts Fetal Growth: The Healthy Mom Zone Trial.Nutrients · 2019Trial
- Gestational Weight Gain Intervention Impacts Determinants of Healthy Eating and Exercise in Overweight/Obese Pregnant Women.Journal of obesity · 2018Trial
- A dynamical systems approach to understanding self-regulation in smoking cessation behavior change.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2014Trial
- 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
- 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
- System Identification Approaches For Energy Intake Estimation: Enhancing Interventions For Managing Gestational Weight Gain.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2020Article
- Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions.Journal of medical Internet research · 2018Article
- Individually Tailored, Adaptive Intervention to Manage Gestational Weight Gain: Protocol for a Randomized Controlled Trial in Women With Overweight and Obesity.JMIR research protocols · 2018Article
- Implementing a Braided Home-based Parent-support Curriculum: Lessons Learned.Intervencion psicosocial · 2017Article
- Advancing Models and Theories for Digital Behavior Change Interventions.American journal of preventive medicine · 2016Article
- Agile science: creating useful products for behavior change in the real world.Translational behavioral medicine · 2016Article
- A control systems engineering approach for adaptive behavioral interventions: illustration with a fibromyalgia intervention.Translational behavioral medicine · 2014Article
- Control systems engineering for optimizing a prenatal weight gain intervention to regulate infant birth weight.American journal of public health · 2014Article
- Hybrid Model Predictive Control for Sequential Decision Policies in Adaptive Behavioral Interventions.Proceedings of the ... American Control Conference. American Control Conference · 2014Article
- Continuous-Time System Identification of a Smoking Cessation Intervention.International journal of control · 2014Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Excessive gestational weight gain (GWG) represents a major public health issue. In this paper, we pursue a control engineering approach to the problem by applying model predictive control (MPC) algorithms to act as decision policies in the intervention for assigning optimal intervention dosages. The intervention components consist of education, behavioral modification and active learning. The categorical nature of the intervention dosage assignment problem dictates the need for hybrid model predictive control (HMPC) schemes, ultimately leading to improved outcomes. The goal is to design a controller that generates an intervention dosage sequence which improves a participant's healthy eating behavior and physical activity to better control GWG. An improved formulation of self-regulation is also presented through the use of Internal Model Control (IMC), allowing greater flexibility in describing self-regulatory behavior. Simulation results illustrate the basic workings of the model and demonstrate the benefits of hybrid predictive control for optimized GWG adaptive interventions.
Identifiers
What OpenQuestion holds
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.