Mostrando 10 resultados de: 19
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Proceedings of the American Control Conference(3)
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014(2)
IEEE Transactions on Control Systems Technology(2)
Translational Behavioral Medicine(2)
2016 IEEE 55th Conference on Decision and Control, CDC 2016(1)
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Medicina y salud(7)
Salud y seguridad personal(7)
Ciencias de la computación(6)
Fisiología humana(6)
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Sistema de control(6)
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Origen
scopus(19)
An enhanced identification test monitoring procedure for MIMO systems relying on uncertainty estimates
Conference ObjectAbstract: An important practical consideration in system identification is the judicious use of information foPalabras claves:Autores:Cesar A. Martin, Hekler E.B., Rivera D.E.Fuentes:googlescopusAn identification test monitoring procedure for MIMO systems based on statistical uncertainty estimation
Conference ObjectAbstract: This paper presents an identification test monitoring procedure for multivariable systems whose purpPalabras claves:Autores:Cesar A. Martin, Hekler E.B., Rivera D.E.Fuentes:googlescopusA MoliZoft System Identification Approach of the Just Walk Data
Conference ObjectAbstract: A system identification approach is used estimate linear time invariant models from the data of physPalabras claves:behavioural sciences, Least squares identification, Output error identification, Pbkp_rediction error methods, Social, system identificationAutores:Cesar A. Martin, Freigoun M.T., Hekler E.B., Lopes dos Santos P., Perdicoúlis T.P., Ramos J.A., Rivera D.E., Romano R.A.Fuentes:googlescopusA control engineering approach for optimizing physical activity behavioral interventions
Conference ObjectAbstract: This paper presents the use of control engineering principles to optimize mobile and wireless healthPalabras claves:Autores:Cesar A. Martin, Hekler E.B., Rivera D.E.Fuentes:googlescopusA dynamical systems model of Social Cognitive Theory
Conference ObjectAbstract: Social Cognitive Theory (SCT) is among the most influential theories of health behavior and has beenPalabras claves:Biomedical, emerging control applications, Modeling and simulationAutores:Adams M.A., Buman M.P., Cesar A. Martin, Hekler E.B., King A.C., Riley W.T., Rivera D.E.Fuentes:googlescopusA system identification approach for improving behavioral interventions based on Social Cognitive Theory
Conference ObjectAbstract: Mobile and wireless health (mHealth) interventions offer the opportunity for applying control enginePalabras claves:Autores:Cesar A. Martin, Deshpande S., Hekler E.B., Rivera D.E.Fuentes:googlescopusDevelopment of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions
ArticleAbstract: Mobile health technologies are contributing to the increasing relevance of control engineering princPalabras claves:Behavioral interventions, control design, dynamical modeling, Health behavior, system identificationAutores:Adams M.A., Buman M.P., Cesar A. Martin, Hekler E.B., Magann A.B., Riley W.T., Rivera D.E.Fuentes:googlescopusDevelopment of a dynamic computational model of social cognitive theory
ArticleAbstract: Social cognitive theory (SCT) is among the most influential theories of behavior change and has beenPalabras claves:Computational modeling, Control systems engineering, Dynamical system modeling, Health behavior theory, Social cognitive theoryAutores:Adams M.A., Buman M.P., Cesar A. Martin, Hekler E.B., King A.C., Pavel M., Riley W.T., Rivera D.E.Fuentes:googlescopusControl systems engineering for optimizing behavioral mhealth interventions
Book PartAbstract: Control systems engineering is a broad-based field that examines how system variables can be adjustePalabras claves:Autores:Cesar A. Martin, Deshpande S., Hekler E.B., Nandola N., Rivera D.E., Timms K.P.Fuentes:googlescopusControl-Relevant Design of System Identification Experiments to Improve Behavioral Interventions
Conference ObjectAbstract: This paper presents the design of system identification experiments for physical activity behavioralPalabras claves:excitation design, experiment design, Frequency domain identification, identification, identification for control, input, Model formulation, ValidationAutores:Cesar A. Martin, Hekler E.B., Rivera D.E.Fuentes:googlescopus