GP-based Motion Control Design for the Double-integrator System Subject to Velocity Constraint

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{Penaloza-Mejia:2017:GECCO,

• author = "Ollin Penaloza-Mejia and Eddie Clemente and Marlen Meza-Sanchez and Cynthia B. Perez and Francisco Chavez",
• title = "{GP-based} Motion Control Design for the Double-integrator System Subject to Velocity Constraint",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
• series = "GECCO '17",
• year = "2017",
• isbn13 = "978-1-4503-4939-0",
• address = "Berlin, Germany",
• pages = "73--74",
• size = "2 pages",
• URL = "http://doi.acm.org/10.1145/3067695.3076094",
• DOI = "doi:10.1145/3067695.3076094",
• acmid = "3076094",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, bounded velocity, double-integrator system, motion control design",
• month = "15-19 " # jul,
• 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 behaviours to develop a family of analytic controllers, is proposed. To this end, firstly, a natural behaviour is designed to achieve asymptotic tracking of a desired continuous trajectory by using a Control-Theory approach. Secondly, learned behaviours 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.",
• notes = "Also known as \cite{Penaloza-Mejia:2017:GMC:3067695.3076094} GECCO-2017 A Recombination of the 26th International Conference on Genetic Algorithms (ICGA-2017) and the 22nd Annual Genetic Programming Conference (GP-2017)",

}

Genetic Programming entries for Ollin Penaloza-Mejia Eddie Helbert Clemente Torres Marlen Meza-Sanchez Cynthia B Perez Francisco Chavez de la O

Citations