ArticleProceedings of the ... American Control Conference. American Control Conference2014
A Hybrid Model Predictive Control Strategy for Optimizing a Smoking Cessation Intervention.
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. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- 3DoF-KF HMPC: A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems.Control engineering practice · 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
- 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
- Cognitive computing and eScience in health and life science research: artificial intelligence and obesity intervention programs.Health information science and systems · 2017Review
- Control Engineering Methods for the Design of Robust Behavioral Treatments.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2017Article
- Mobile and Wireless Technologies in Health Behavior and the Potential for Intensively Adaptive Interventions.Current opinion in psychology · 2015Article
- 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The chronic, relapsing nature of tobacco use represents a major challenge in smoking cessation treatment. Recently, novel intervention paradigms have emerged that seek to adjust treatments over time in order to meet a patient's changing needs. This article demonstrates that Hybrid Model Predictive Control (HMPC) offers an appealing framework for designing these optimized, time-varying smoking cessation interventions. HMPC is a particularly appropriate approach as it recognizes that intervention doses must be assigned in predetermined, discrete units while retaining receding-horizon, constraint-handling, and combined feedback and feedforward capabilities. Specifically, an intervention algorithm is developed here in which counseling and two pharmacotherapies are manipulated to reduce daily smoking and craving levels. The potential usefulness of such an intervention is illustrated through simulated treatment of a quit attempt in a hypothetical patient, which highlights that prioritizing reduction in craving over total daily smoking levels significantly reduces craving levels, suppresses relapse, and successfully rejects time-varying disturbances such as stress, all while adhering to several practical operational constraints and resource use considerations.
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.