Zobrazeno 1 - 10
of 286
pro vyhledávání: '"Chiu, George"'
Autor:
Wu, Yumeng, Chiu, George
Publikováno v:
2021 American Control Conference (ACC)
This paper proposes an improved height profile model for drop-on-demand 3D printing with UV curable ink. It is extended from a previously validated model and computes height profile indirectly from volume and area propagation to ensure volume conserv
Externí odkaz:
http://arxiv.org/abs/2409.07021
Autor:
Wu, Yumeng, Chiu, George
Publikováno v:
DSCC2019-9242, V002T13A006; 8 pages
This paper proposes a height profile model for drop-on-demand printing of UV curable ink. Existing models includesuperposition of single drops, numerical models, and graphic-based model. They are either too complicated or over simplified.Graphic mode
Externí odkaz:
http://arxiv.org/abs/2408.14510
Autor:
Wu, Yumeng, Chiu, George
Publikováno v:
Letters Dyn. Sys. Control. Jul 2021, 1(3): 031010 (6 pages)
This paper proposes an improved model of height profile for drop-on-demand printing of UV curable ink. Unlike previous model, the proposed model propagates volume and covered area based on height difference between adjacent drops. Height profile is t
Externí odkaz:
http://arxiv.org/abs/2408.14509
Identifying a linear system model from data has wide applications in control theory. The existing work on finite sample analysis for linear system identification typically uses data from a single system trajectory under i.i.d random inputs, and assum
Externí odkaz:
http://arxiv.org/abs/2309.08805
Autor:
Daly, R. Terik, Ernst, Carolyn M., Barnouin, Olivier S., Chabot, Nancy L., Rivkin, Andrew S., Cheng, Andrew F., Adams, Elena Y., Agrusa, Harrison F., Abel, Elisabeth D., Alford, Amy L., Asphaug, Erik I., Atchison, Justin A., Badger, Andrew R., Baki, Paul, Ballouz, Ronald-L., Bekker, Dmitriy L., Bellerose, Julie, Bhaskaran, Shyam, Buratti, Bonnie J., Cambioni, Saverio, Chen, Michelle H., Chesley, Steven R., Chiu, George, Collins, Gareth S., Cox, Matthew W., DeCoster, Mallory E., Ericksen, Peter S., Espiritu, Raymond C., Faber, Alan S., Farnham, Tony L., Ferrari, Fabio, Fletcher, Zachary J., Gaskell, Robert W., Graninger, Dawn M., Haque, Musad A., Harrington-Duff, Patricia A., Hefter, Sarah, Herreros, Isabel, Hirabayashi, Masatoshi, Huang, Philip M., Hsieh, Syau-Yun W., Jacobson, Seth A., Jenkins, Stephen N., Jensenius, Mark A., John, Jeremy W., Jutzi, Martin, Kohout, Tomas, Krueger, Timothy O., Laipert, Frank E., Lopez, Norberto R., Luther, Robert, Lucchetti, Alice, Mages, Declan M., Marchi, Simone, Martin, Anna C., McQuaide, Maria E., Michel, Patrick, Moskovitz, Nicholas A., Murphy, Ian W., Murdoch, Naomi, Naidu, Shantanu P., Nair, Hari, Nolan, Michael C., Ormö, Jens, Pajola, Maurizio, Palmer, Eric E., Peachey, James M., Pravec, Petr, Raducan, Sabina D., Ramesh, K. T., Ramirez, Joshua R., Reynolds, Edward L., Richman, Joshua E., Robin, Colas Q., Rodriguez, Luis M., Roufberg, Lew M., Rush, Brian P., Sawyer, Carolyn A., Scheeres, Daniel J., Scheirich, Petr, Schwartz, Stephen R., Shannon, Matthew P., Shapiro, Brett N., Shearer, Caitlin E., Smith, Evan J., Steele, R. Joshua, Steckloff, Jordan K, Stickle, Angela M., Sunshine, Jessica M., Superfin, Emil A., Tarzi, Zahi B., Thomas, Cristina A., Thomas, Justin R., Trigo-Rodríguez, Josep M., Tropf, B. Teresa, Vaughan, Andrew T., Velez, Dianna, Waller, C. Dany, Wilson, Daniel S., Wortman, Kristin A., Zhang, Yun
While no known asteroid poses a threat to Earth for at least the next century, the catalog of near-Earth asteroids is incomplete for objects whose impacts would produce regional devastation. Several approaches have been proposed to potentially preven
Externí odkaz:
http://arxiv.org/abs/2303.02248
We consider the problem of learning the dynamics of a linear system when one has access to data generated by an auxiliary system that shares similar (but not identical) dynamics, in addition to data from the true system. We use a weighted least squar
Externí odkaz:
http://arxiv.org/abs/2302.04344
We study the problem of estimating an unknown parameter in a distributed and online manner. Existing work on distributed online learning typically either focuses on asymptotic analysis, or provides bounds on regret. However, these results may not dir
Externí odkaz:
http://arxiv.org/abs/2209.06678
We study the problem of identifying the dynamics of a linear system when one has access to samples generated by a similar (but not identical) system, in addition to data from the true system. We use a weighted least squares approach and provide finit
Externí odkaz:
http://arxiv.org/abs/2204.05446
We consider the problem of learning the dynamics of autonomous linear systems (i.e., systems that are not affected by external control inputs) from observations of multiple trajectories of those systems, with finite sample guarantees. Existing result
Externí odkaz:
http://arxiv.org/abs/2203.12794
Autor:
Wong, Oi Lei, Yuan, Jing, Poon, Darren M.C., Chiu, Sin Ting, Yang, Bin, Chiu, George, Yu, Siu Ki, Cheung, Kin Yin
Publikováno v:
In Magnetic Resonance Imaging September 2024 111:47-56
