Article
Real-time implementation of neural optimal control and state estimation for a linear induction motor
Date
2007Author
Cotton, R.G.H.
Appelbe, W.
Auerbach, A.D.
Becker, K.
Bodmer, W.
Boone, D.J.
Boulyjenkov, V.
Brahmachari, S.
Brody, L.
Brookes, A.
Brown, A.F.
Byers, P.
Maria Cantu, J.
Cassiman, J.-J.
Claustres, M.
Concannon, P.
Cotton, R.G.H.
Den Dunnen, J.T.
Flicek, P.
Gibbs, R.
Hall, J.
Hasler, J.
Katz, M.
Kwok, P.-Y.
Laradi, S.
Lindblom, A.
Maglott, D.
Marsh, S.
Masimirembwa, C.M.
Minoshima, S.
De Ramirez, A.M.O.
Pagon, R.
Institutions
Abstract
Lists of variations in genomic DNA and their effects have been kept for some time and have been used in diagnostics and research. Although these lists have been carefully gathered and curated, there has been little standardization and coordination, complicating their use. Given the myriad possible variations in the estimated 24,000 genes in the human genome, it would be useful to have standard criteria for databases of variation. Incomplete collection and ascertainment of variants demonstrates a need for a universally accessible system. These and other problems led to the World Heath Organization-cosponsored meeting on June 20-23, 2006 in Melbourne, Australia, which launched the Human Variome Project. This meeting addressed all areas of human genetics relevant to collection of information on variation and its effects. Members of each of eight sessions (the clinic and phenotype, the diagnostic laboratory, the research laboratory, curation and collection, informatics, relevance to the emerging world, integration and federation and funding and sustainability) developed a number of recommendations that were then organized into a total of 96 recommendations to act as a foundation for future work worldwide. Here we summarize the background of the project, the meeting and its recommendations. " 2007 Nature Publishing Group.",,,,,,"10.1038/ng2024",,,"http://hdl.handle.net/20.500.12104/44111","http://www.scopus.com/inward/record.url?eid=2-s2.0-34047165392&partnerID=40&md5=47cd959de030ae3441c58e7f29705c96",,,,,,"4",,"Nature Genetics",,"433 436",,"39",,"Scopus",,,,,,,,,,,,"Recommendations of the 2006 Human Variome Project meeting",,"Review"
"45881","123456789/35008",,"Vargas-Zúñiga, R., Universidad De Guadalajara, Mexico; Pedro Solís-Cámara, R., Universidad De Guadalajara, Mexico",,"Vargas-Zuniga, R. Pedro Solis-Camara, R.",,"2013",,"The Kansas Reflection-Impulsivity Scale for Preschoolers (KRISP) was developed in the 70's of the last century for testing the cognitive styles of reflection-impulsivity (R-I). Later, research studies pointed out some deficiencies of the KRISP as a measure of R-I styles; however, researchers are still using the KRISP, probably because it is the sole scale available to test preschoolers' styles. The aim of the present study was to develop an improved version of the scale for the assessment of R-I in preschoolers. Participants were 59 preschoolers with a mean age of 3.4 years (SD = 0.39). Several methodological strategies allowed the authors to develop a 10-itemversion of the scale. Analyses with this new version indicated alpha Cronbach coefficients of.82 for latencies and of.67 for total errors. The obtained correlation between latency and errors was -.36 (p =.002). Based on these analyses a new version of the scale, called KRISP-R, is proposed. The importance of carrying out research studies of the new scale but with bigger samples and variables that have been traditionally related with the R-I styles is also discussed.",,,,,,,,,"http://hdl.handle.net/20.500.12104/44102","http://www.scopus.com/inward/record.url?eid=2-s2.0-84901686367&partnerID=40&md5=46e1cdd92b540066458e43e8780b0363",,,,,,"1",,"Acta Colombiana de Psicologia",,"115 121",,"16",,"Scopus",,,,,,"Cognitive styles; KRISP; KRISP-R; Preschoolers; Reflection-impulsivity",,,,,,"Rebuilding the kansas reflection-impulsivity scale for preschoolers (KRISP) [Reconstruyendo la escala kansas de reflexión-impulsividad para preescolares (KRISP)]",,"Article"
"45871","123456789/35008",,"Lopez, V.G., CINVESTAV, Unidad Guadalajara, Apartado Postal 31-438 Plaza La LunaGuadalajara, Jalisco, Mexico; Alanis, A.Y., CUCEI, Universidad de Guadalajara, Apartado Postal 51-71, Col. Las AguilasZapopan, Jalisco, Mexico; Sanchez, E.N., CINVESTAV, Unidad Guadalajara, Apartado Postal 31-438 Plaza La LunaGuadalajara, Jalisco, Mexico; Rivera, J., CUCEI, Universidad de Guadalajara, Apartado Postal 51-71, Col. Las AguilasZapopan, Jalisco, Mexico",,"Lopez, V.G. Alanis, A.Y. Sanchez, E.N. Rivera, J.",,"2015",,"A reduced order state estimator based on recurrent high-order neural networks (RHONN) trained using an extended Kalman filter (EKF) is designed for the magnetic fluxes of a linear induction motor (LIM). The proposed state estimator does not need the mathematical model of the plant. This state estimator is employed to obtain the unmeasurable state variables of the LIM in order to use a state feedback nonlinear controller. A neural inverse optimal control is implemented to achieve trajectory tracking for a position reference. Real-time implementation results on a LIM prototype illustrate the applicability of the proposed scheme. " 2014 Elsevier B.V.