{"id":76,"date":"2017-09-10T05:46:36","date_gmt":"2017-09-10T05:46:36","guid":{"rendered":"https:\/\/ryma.cinvestav.mx\/amorales\/?page_id=76"},"modified":"2017-09-11T16:39:34","modified_gmt":"2017-09-11T16:39:34","slug":"publicaciones","status":"publish","type":"page","link":"https:\/\/ryma.cinvestav.mx\/amorales\/publicaciones\/","title":{"rendered":"Publicaciones"},"content":{"rendered":"

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PUBLICACIONES<\/strong><\/h2><\/div><\/div>\n

Para ver las publicaciones de todo Rob\u00f3tica y Manufactura Avanzada, ver:\u00a0 Publicaciones RYMA<\/a><\/strong><\/p>\n

<\/a>
\r\n

2017<\/h3>

Art\u00edculos de revista<\/h3>

Moreno-Ramos, E.; Morales-Diaz, America B.; Juarez-Maldonado, A.; De Alba-Romenus, K.; Benavides-Mendoza, A.<\/p>

COMPUTATION OF SUBOPTIMAL TEMPERATURE TRAJECTORIES WITH MONTE CARLO METHOD TO MAXIMIZE TOMATO (Solanum lycopersicum L.) PRODUCTION IN GREENHOUSE Art\u00edculo de revista<\/span> En preparaci\u00f3n<\/span><\/p>

En: <\/span>Agrociencia, <\/span>vol. 51, <\/span>no 7, <\/span>pp. 1-18, <\/span>En preparaci\u00f3n, ISSN: 1405-3195<\/span>.<\/p>

Resumen<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@article{Moreno-Ramos2017,
\r\ntitle = {COMPUTATION OF SUBOPTIMAL TEMPERATURE TRAJECTORIES WITH MONTE CARLO METHOD TO MAXIMIZE TOMATO (Solanum lycopersicum L.) PRODUCTION IN GREENHOUSE},
\r\nauthor = {Moreno-Ramos, E. and Morales-Diaz, America B. and Juarez-Maldonado, A. and De Alba-Romenus, K. and Benavides-Mendoza, A.},
\r\neditor = {COLEGIO POSTGRADUADOS},
\r\nissn = {1405-3195},
\r\nyear  = {2017},
\r\ndate = {2017-10-01},
\r\njournal = {Agrociencia},
\r\nvolume = {51},
\r\nnumber = {7},
\r\npages = {1-18},
\r\nabstract = {The objective of this study was to obtain a suboptimal temperature trajectory to maximize fresh weight (W_F) and harvested fruit weight (W_HF) of tomato (Solanum lycopersicum L.) using the Monte Carlo method. To achieve this objective, we posed a problem of dynamic optimization based on a non-linear dynamic crop growth model under greenhouse conditions. In the solution of this problem temperature restrictions are used in the range of 15 \u00baC to 30 \u00baC, which represents the mean temperature range during the day in the city of Saltillo. Optimization is done considering prediction horizons of 15 min in an interval of 120 d after transplant (dat) and using a dynamic mathematical tomato (Solanum lycopersicum L.) growth model evaluated in a chapel-type greenhouse in Saltillo, Coahuila (\u301625\u3017^0 \u301625\u3017^' \u301636\u3017^'' N, \u3016100\u3017^0 59'44''W). The suboptimal temperature trajectory that maximizes fruit weight (W_F) was determined for the entire simulation time interval (0 to 120 dat). Moreover, the suboptimal temperature trajectory that maximized fruit weight (W_F) during pre-harvest (0 to 58 dat) and harvested fruit (W_HF) as of the beginning of harvest (day 59), described by the model until the end of simulation (120 dat). The results obtained show that the suboptimal temperature trajectory from day 59, which marks the beginning of harvest, was established around 15 \u00baC to maximize W_F and around 30 \u00baC for maximization of\u3016 W\u3017_F and W_HF. It could also be observed that the suboptimal temperature trajectory for both cases shows periods that emulate day and night, 15 \u00baC to 30 \u00baC, before day 59. The results obtained permit us to propose conditions for either maximizing fruit on the plant or harvested fruit, and the resulting temperature trajectories can be used to obtain a softened curve with more stable cycles that can be put into practice. },
\r\nkeywords = {},
\r\npubstate = {forthcoming},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Cerrar<\/a><\/p><\/div>
The objective of this study was to obtain a suboptimal temperature trajectory to maximize fresh weight (W_F) and harvested fruit weight (W_HF) of tomato (Solanum lycopersicum L.) using the Monte Carlo method. To achieve this objective, we posed a problem of dynamic optimization based on a non-linear dynamic crop growth model under greenhouse conditions. In the solution of this problem temperature restrictions are used in the range of 15 \u00baC to 30 \u00baC, which represents the mean temperature range during the day in the city of Saltillo. Optimization is done considering prediction horizons of 15 min in an interval of 120 d after transplant (dat) and using a dynamic mathematical tomato (Solanum lycopersicum L.) growth model evaluated in a chapel-type greenhouse in Saltillo, Coahuila (\u301625\u3017^0 \u301625\u3017^' \u301636\u3017^'' N, \u3016100\u3017^0 59'44''W). The suboptimal temperature trajectory that maximizes fruit weight (W_F) was determined for the entire simulation time interval (0 to 120 dat). Moreover, the suboptimal temperature trajectory that maximized fruit weight (W_F) during pre-harvest (0 to 58 dat) and harvested fruit (W_HF) as of the beginning of harvest (day 59), described by the model until the end of simulation (120 dat). The results obtained show that the suboptimal temperature trajectory from day 59, which marks the beginning of harvest, was established around 15 \u00baC to maximize W_F and around 30 \u00baC for maximization of\u3016 W\u3017_F and W_HF. It could also be observed that the suboptimal temperature trajectory for both cases shows periods that emulate day and night, 15 \u00baC to 30 \u00baC, before day 59. The results obtained permit us to propose conditions for either maximizing fruit on the plant or harvested fruit, and the resulting temperature trajectories can be used to obtain a softened curve with more stable cycles that can be put into practice. <\/div>
Cerrar<\/a><\/p><\/div><\/div><\/div>
 Guti\u00e9rrez, H.;  Morales-Diaz, America B.;  Nijmeijer, H.<\/p>
Synchronization Control for a Swarm of Unicycle Robots: Analysis of Different Controller Topologies<\/a> Art\u00edculo de revista<\/span> <\/p>
En: <\/span>Asian Journal of Control, <\/span>vol. 19, <\/span>no 5, <\/span>pp. 1822-1833, <\/span>2017<\/span>, ISSN: 1561-8625<\/span>.<\/p>
Resumen<\/a><\/span> | Enlaces<\/a><\/span> | BibTeX<\/a><\/span><\/p>
@article{Guti\\'{e}rrez2017,
\r\ntitle = {Synchronization Control for a Swarm of Unicycle Robots: Analysis of Different Controller Topologies},
\r\nauthor = {Guti\\'{e}rrez, H. and Morales-Diaz, America B. and Nijmeijer, H.},
\r\neditor = {Wiley-Blackwell},
\r\nurl = {http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/asjc.1497\/full
\r\n
\r\n},
\r\ndoi = {http:\/\/dx.doi.org\/10.1002\/asjc.1497},
\r\nissn = {1561-8625},
\r\nyear  = {2017},
\r\ndate = {2017-09-01},
\r\njournal = {Asian Journal of Control},
\r\nvolume = {19},
\r\nnumber = {5},
\r\npages = {1822-1833},
\r\nabstract = {This paper proposes a nonlinear synchronization controller for a swarm of unicycle robots performing a cooperative task, i.e., following a desired trajectory per robot while maintaining a prescribed formation. The effect of communication between robots is analyzed and several network topologies are investigated, e.g., all-to-all, ring type, undirected, among others. The stability analysis of the closed loop system is provided using the Lyapunov method. Experiments with four unicycle robots are presented to validate the control law and communication analysis. Accumulated errors over the experiment time are presented in order to determine which topology is most efficient.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Cerrar<\/a><\/p><\/div>
This paper proposes a nonlinear synchronization controller for a swarm of unicycle robots performing a cooperative task, i.e., following a desired trajectory per robot while maintaining a prescribed formation. The effect of communication between robots is analyzed and several network topologies are investigated, e.g., all-to-all, ring type, undirected, among others. The stability analysis of the closed loop system is provided using the Lyapunov method. Experiments with four unicycle robots are presented to validate the control law and communication analysis. Accumulated errors over the experiment time are presented in order to determine which topology is most efficient.<\/div>
Cerrar<\/a><\/p><\/div>