Registro completo de metadatos
| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.creator | Rossomando, Francisco Guido | - |
| dc.creator | Soria, Carlos Miguel | - |
| dc.date | 2016-12-06T18:23:06Z | - |
| dc.date | 2016-12-06T18:23:06Z | - |
| dc.date | 2015-04 | - |
| dc.date | 2016-12-06T16:33:41Z | - |
| dc.date.accessioned | 2019-04-29T15:53:48Z | - |
| dc.date.available | 2019-04-29T15:53:48Z | - |
| dc.date.issued | 2015-04 | - |
| dc.identifier | Rossomando, Francisco Guido; Soria, Carlos Miguel; Design and implementation of adaptive NeuralPID for non linear dynamics in mobile robots; Institute Of Electrical And Electronics Engineers; IEEE Latin America Transactions; 13; 4; 4-2015; 913-918 | - |
| dc.identifier | 1548-0992 | - |
| dc.identifier | http://hdl.handle.net/11336/8907 | - |
| dc.identifier.uri | http://rodna.bn.gov.ar:8080/jspui/handle/bnmm/304907 | - |
| dc.description | In this work, it will be reported original results concerning the application of PID Adaptive Neural controller in mobile robot in trajectory tracking control. In this control strategy the exact dynamical model of the robot will not need to be known and identified. To implement this strategy, two controllers are implemented separately: a kinematic controller and an adaptive neural PID controller. The uncertainty and dynamics variations in the robot dynamic are compensated by an adaptive neural PID controller. The resulting adaptive neural PID controller is efficient and robust in the sense that it succeeds to achieve a good tracking performance. The stability of the proposed technique (based on Lyapunov’s theory) was demonstrated. Finally, experiments on a mobile robot have been developed to show the performance of the proposed technique, including the comparison with other controllers. | - |
| dc.description | Fil: Rossomando, Francisco Guido. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Juan. Instituto de Automática; Argentina. Universidad Nacional de San Juan; Argentina | - |
| dc.description | Fil: Soria, Carlos Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Juan. Instituto de Automática; Argentina. Universidad Nacional de San Juan; Argentina | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.language | por | - |
| dc.publisher | Institute Of Electrical And Electronics Engineers | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TLA.2015.7106337 | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/7106337/ | - |
| dc.rights | info:eu-repo/semantics/restrictedAccess | - |
| dc.rights | Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR) | - |
| 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 | MIMO SYSTEM | - |
| dc.subject | NONLINEAR CONTROL | - |
| dc.subject | ADAPTIVE CONTROL | - |
| dc.subject | NEURAL NETWORK | - |
| dc.subject | Control Automático y Robótica | - |
| dc.subject | Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información | - |
| dc.subject | INGENIERÍAS Y TECNOLOGÍAS | - |
| dc.title | Design and implementation of adaptive NeuralPID for non linear dynamics in mobile robots | - |
| 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 | |
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