GP-based Motion Control Design for the Double-integrator System Subject to Velocity Constraint
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{Penaloza-Mejia:2017:GECCO,
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author = "Ollin Penaloza-Mejia and Eddie Clemente and
Marlen Meza-Sanchez and Cynthia B. Perez and
Francisco Chavez",
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title = "{GP-based} Motion Control Design for the
Double-integrator System Subject to Velocity
Constraint",
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booktitle = "Proceedings of the Genetic and Evolutionary
Computation Conference Companion",
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series = "GECCO '17",
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year = "2017",
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isbn13 = "978-1-4503-4939-0",
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address = "Berlin, Germany",
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pages = "73--74",
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size = "2 pages",
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URL = "http://doi.acm.org/10.1145/3067695.3076094",
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DOI = "doi:10.1145/3067695.3076094",
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acmid = "3076094",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming, bounded
velocity, double-integrator system, motion control
design",
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month = "15-19 " # jul,
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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.",
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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