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<http://opendata.unex.es/recurso/ciencia-tecnologia/investigacion/publicaciones/Publicacion/2017-3318> bibo:isbn "9781450349390";
    vivo:identifier "2017-3318";
    vcard:url <https://doi.org/10.1145/3067695.3076094>;
    fabio:hasPublicationYear "2017";
    a ou:Publicacion;
    dcterms:contributor "Peñaloza-Mejía, Ollin, Clemente, Eddie, Meza-Sánchez, Marlen, Pérez, Cynthia B., Chávez, Francisco";
    ou:tipoPublicacion "Conference Paper";
    bibo:doi "10.1145/3067695.3076094";
    dcterms:title "GP-based motion control design for the double-integrator system subject to velocity constraint";
    ou:bibtex "@inproceedings{10.1145/3067695.3076094,author={Pe\\~{n}aloza-Mej\\'{\\i}a, Ollin and Clemente, Eddie and Meza-S\\'{a}nchez, Marlen and P\\'{e}rez, Cynthia B. and Ch\\'{a}vez, Francisco},title={GP-based motion control design for the double-integrator system subject to velocity constraint},year={2017},isbn={9781450349390},publisher={Association for Computing Machinery},address={New York, NY, USA},url={https://doi.org/10.1145/3067695.3076094},doi={10.1145/3067695.3076094},abstract={The motion control problem for the double-integrator system subject to velocity constraint is addressed. A novel methodology, which consists of a two-stage process and regards a trade-off between natural and learned behaviors to develop a family of analytic controllers, is proposed. To this end, firstly, a natural behavior is designed to achieve asymptotic tracking of a desired continuous trajectory by using a Control-Theory approach. Secondly, learned behaviors are discovered by using a Genetic Programming approach to synthesize an analytic controller to ensure a bounded velocity of the system. The integration of these approaches allows the system to exhibit a good tracking performance while keeping the velocity bounded to a desired value, freely set by the user. Simulation results are provided to illustrate the effectiveness of the proposal, and a comparison with a traditional Control-Theory-Based solution is also given and discussed.},booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion},pages={73–74},numpages={2},keywords={bounded velocity, double-integrator system, genetic programming, motion control design},location={Berlin, Germany},series={GECCO '17}}\n";
    ou:urlOrcid <https://doi.org/10.1145/3067695.3076094>.
<http://opendata.unex.es/recurso/educacion/universidad/personal/0058daf359847a4fd9183f73d7c090cf-francisco-chavez-de-la-o> ou:tienePublicacion <http://opendata.unex.es/recurso/ciencia-tecnologia/investigacion/publicaciones/Publicacion/2017-3318>.