| dc.contributor.advisor | Šafarič, Riko | |
| dc.contributor.author | Riloba Pereda, Erik | |
| dc.contributor.other | Universidad de Cantabria | es_ES |
| dc.date.accessioned | 2021-10-11T11:34:35Z | |
| dc.date.available | 2021-10-11T11:34:35Z | |
| dc.date.issued | 2021-10-01 | |
| dc.identifier.uri | http://hdl.handle.net/10902/22726 | |
| dc.description.abstract | ABSTRACT: This bachellor thesis presents a particle swarm optimization (PSO) algorithm in MatLab language to check its behavior in the velocity controller of a robotic arm, to demonstrate that this type of algorithm can be used in dynamic and uncertain environments. The robot only has one degree of freedom. Starting from the previous work provided by in [7] and [8] we will be able to compare the behavior of this algorithm with that of a PI controller. | es_ES |
| dc.format.extent | 42 p. | es_ES |
| dc.language.iso | eng | es_ES |
| dc.rights | © Erik Riloba Pereda | es_ES |
| dc.subject.other | Particle swarm optimization | es_ES |
| dc.subject.other | PSO algorithm | es_ES |
| dc.subject.other | Non-linear controller | es_ES |
| dc.subject.other | Neural network | es_ES |
| dc.title | Particle swarm optimization in an online adaptive controller | es_ES |
| dc.type | info:eu-repo/semantics/bachelorThesis | es_ES |
| dc.rights.accessRights | restrictedAccess | es_ES |
| dc.description.degree | Grado en Ingeniería en Electrónica Industrial y Automática | es_ES |
