On the Identification of Social Cognitive Theory Models and Closed-loop Intervention Simulations Using Hybrid Model Predictive Control
| Autor: | Konstantinos Tsakalis, Gregory B. Raupp, Mohammad T. Freigoun |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Structure (mathematical logic)
Computer science business.industry System identification Decision rule Machine learning computer.software_genre Prime (order theory) Identification (information) Model predictive control Control and Systems Engineering Operant conditioning Artificial intelligence business computer Social cognitive theory |
| Zdroj: | IFAC-PapersOnLine. 54:31-36 |
| ISSN: | 2405-8963 |
| Popis: | This paper presents closed-loop intervention simulations for an identified, data-validated model of Social Cognitive Theory (SCT). A reduced-complexity SCT model structure consisting of dynamic operant conditioning and self-efficacy loops is considered for the prediction of physical activity behavior. Consistent with real-world requirements, including the need for hybrid decision rules policies, the proposed closed-loop intervention design follows a Hybrid Model Predictive Control formulation. The prime goal of this paper is to reinforce the viability of the system identification and control engineering frameworks in the design of optimized and perpetually adaptive behavioral health interventions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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