A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems: Application to Optimized Interventions for Physical Activity-Reference-Cited by-同舟云学术

A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems: Application to Optimized Interventions for Physical Activity

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 61st Conference on Decision and Control (CDC)
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Author:

Khan Owais¹,El Mistiri Mohamed¹,Rivera Daniel E.¹,Martin Casar A.²,Hekler Eric³

Affiliation:

1. Arizona State University,Control Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy,Tempe,USA,AZ 85287

2. Escuela Superior Politécnica del Litoral (ESPOL),Facultad de Ingeniería en Electricidad y Computación,Guayaquil,Ecuador

3. University of California,Center for Wireless and Population Health Systems,San Diego,USA,CA 92093

Funder

National Institutes of Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9992315/9992317/09992932.pdf?arnumber=9992932

Reference15 articles.

1. Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions

2. Association of Daily Step Count and Step Intensity With Mortality Among US Adults

3. The Dynamic Nature of Physical Activity Intentions: A Within-Person Perspective on Intention-Behavior Coupling

4. An Improved Formulation of Hybrid Model Predictive Control With Application to Production-Inventory Systems

5. A decision framework for an adaptive behavioral intervention for physical activity using hybrid model predictive control

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2. System Identification and Hybrid Model Predictive Control in Personalized mHealth Interventions for Physical Activity;2023 American Control Conference (ACC);2023-05-31

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