Registro completo de metadatos
Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.creator | Rossomando, Francisco Guido | - |
dc.creator | Soria, Carlos Miguel | - |
dc.date | 2018-09-28T15:01:48Z | - |
dc.date | 2018-09-28T15:01:48Z | - |
dc.date | 2016-06 | - |
dc.date | 2018-09-27T20:16:20Z | - |
dc.date.accessioned | 2019-04-29T15:29:12Z | - |
dc.date.available | 2019-04-29T15:29:12Z | - |
dc.date.issued | 2018-09-28T15:01:48Z | - |
dc.date.issued | 2018-09-28T15:01:48Z | - |
dc.date.issued | 2016-06 | - |
dc.date.issued | 2018-09-27T20:16:20Z | - |
dc.identifier | Rossomando, Francisco Guido; Soria, Carlos Miguel; Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 14; 6; 6-2016; 2556-2564 | - |
dc.identifier | http://hdl.handle.net/11336/61202 | - |
dc.identifier | 1548-0992 | - |
dc.identifier | CONICET Digital | - |
dc.identifier | CONICET | - |
dc.identifier.uri | http://rodna.bn.gov.ar:8080/jspui/handle/bnmm/295012 | - |
dc.description | This work presents a neuro-adaptive control method in sliding mode control designed in discrete time for SCARA robot arm. The proposed control structure is based on neuro-adaptive sliding mode control to adjust dynamics variations of the SCARA robot. The sliding control is included to ensure that the discrete-time neural control can improve the stable closed loop system to be immune to the parameters variations. The proposed technique simultaneously ensures the stability of the adaptation of neural networks and can obtain adequate control when the robots parameters are inexactly or unknown. This adaptive neural system was applied on a SCARA type robot arm where the trajectory tracking error converges to zero. Finally, experiments have been developed on SCARA robot arm to demonstrate the efficiency of the proposed technique, including comparison with a classical controller. | - |
dc.description | Fil: Rossomando, Francisco Guido. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina | - |
dc.description | Fil: Soria, Carlos Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina | - |
dc.format | application/pdf | - |
dc.format | application/pdf | - |
dc.language | spa | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.relation | info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/7555218 | - |
dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TLA.2016.7555218 | - |
dc.rights | info:eu-repo/semantics/restrictedAccess | - |
dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | - |
dc.source | reponame:CONICET Digital (CONICET) | - |
dc.source | instname:Consejo Nacional de Investigaciones Científicas y Técnicas | - |
dc.source | instacron:CONICET | - |
dc.subject | ADAPTIVE CONTROL | - |
dc.subject | MIMO SYSTEM | - |
dc.subject | NEURAL NETWORKS | - |
dc.subject | SLIDING MODE CONTROL | - |
dc.subject | Ingeniería de Sistemas y Comunicaciones | - |
dc.subject | Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información | - |
dc.subject | INGENIERÍAS Y TECNOLOGÍAS | - |
dc.title | Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.type | info:ar-repo/semantics/articulo | - |
Aparece en las colecciones: | CONICET |
Ficheros en este ítem:
No hay ficheros asociados a este ítem.