First steps toward a simple but efficient model-free control synthesis for variable-speed wind turbines

Autor: Lafont, Frédéric, Balmat, Jean-François, Join, Cédric, Fliess, Michel

Although variable-speed three-blade wind turbines are nowadays quite popular, their control remains a challenging task. We propose a new easily implementable model-free control approach with the corresponding intelligent controllers. Several convinci

Externí odkaz: http://arxiv.org/abs/2011.06415

Forecasting pest risk level in roses greenhouse: Adaptive neuro-fuzzy inference system vs artificial neural networks

Autor: Ahmad Tay, Frédéric Lafont, Jean-François Balmat

Publikováno v: Information Processing in Agriculture, Vol 8, Iss 3, Pp 386-397 (2021)

The purpose of this study is to establish a system for the prediction of the pests’ risk level in a roses greenhouse by applying Artificial Neural Networks (ANNs) and an Adaptive Neuro-Fuzzy Inference System (ANFIS). Pests in roses greenhouses are

Externí odkaz: https://doaj.org/article/2500d11c02044ca2973b5012b0fcfb64

A model-free control strategy for an experimental greenhouse with an application to fault accommodation

Autor: Lafont, Frédéric, Balmat, Jean-François, Pessel, Nathalie, Fliess, Michel

Publikováno v: Computers and Electronics in Agriculture, Elsevier, 2015, 110 (1), pp.139-149

Writing down mathematical models of agricultural greenhouses and regulating them via advanced controllers are challenging tasks since strong perturbations, like meteorological variations, have to be taken into account. This is why we are developing h

Externí odkaz: http://arxiv.org/abs/1411.7169

PHarmacist Avoidance or Reductions in Medical Costs in Patients Presenting the EMergency Department: PHARM-EM Study

Autor: Megan A. Rech, PharmD, MS, FCCM, William Adams, PhD, Keaton S. Smetana, PharmD, Payal K. Gurnani, PharmD, FCCM, Megan A. Van Berkel Patel, PharmD, William J. Peppard, PharmD, FCCM, Drayton A. Hammond, PharmD, MBA, MSc, Alexander H. Flannery, PharmD, FCCM, PHARM-EM Investigators, on behalf of the Society of Critical Care Medicine Clinical Pharmacy and Pharmacology Section and endorsed by the Discovery Network, Giles Slocum, Josh DeMott, Michelle Malatlian, Kathryn Samai, Rachel Lazim, Kyle Allmond, Abby Bussey, Patrick Blankenship, Joanne Routsolias, Arnett Alyson Basting, Rebecca Finder, Holly Nuest, Hillcrest Elizabeth Adams, Kerri Federico, William Snow, Tina Liu, Derex Louie, Audra DeChristopher, Nadine Faulkner, Mallory Cruz, Yelena Figuerado, Adrienne Kercsak, Thomas Gregory, Lamanh Le, Tim Molinarolo, Alicia Zu Wallack, Kaitlyn Caswell, Dina Nakhleh, Cait Pfaff, Mary Hormese, Marc McDowell, Ashley Martinelli, Maggie Ma, Tara Flack, Matt McAllister, Megan Webb, Rachel Beham, Alyssa Garner, Logon Olson, Terese Poon, Ryan Balmat, Celeste Wise, Sean Hackett, Frank Rigelsky, Julia Kuroski, Matthew Nagar, Elise Metts, Dina Ali, Gavin Howington, Jason Davis, Nicole Acquisto, Kaylee Maynard, Mercy Hoang, Faisal Minhaj, Keith Kalvaitis, Michele Handzel, Kate Kokanovich, Caitlin Fronhapple, Marin Valentino, Jessica Kozakiewicz, Chara Calhoun, Kyle Weant, Lisa Hall Zimmerman, Kris Thomassian, Brett Faine, Stacey Rewitzer, Anne Zepeski, Zach Smith, Christele Francois, Brandon Huang, Cody Null, Jessica Glas, Brian Gilbert, Caitlin Brown, Francis Manuel, Toledo William Kirsch, Kristen Thomas, Curtis Geier, Jessica Rivera, Neil Umstead, John Pitts, Jerry Lepore, Bob Piavis, Giang Duong, Matthew Ford, Katrina Karpowitsch

Publikováno v: Critical Care Explorations, Vol 3, Iss 4, p e0406 (2021)

Objectives:. To comprehensively classify interventions performed by emergency medicine clinical pharmacists and quantify cost avoidance generated through their accepted interventions. Design:. A multicenter, prospective, observational study was perfo

Externí odkaz: https://doaj.org/article/6a5492ca1195491da7f76f9c2b388509

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