Evolutionary synthesis of hybrid controllers

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Letia:2015:ieeeICCP,
  author =       "Tiberiu S. Letia and Attila O. Kilyen",
  booktitle =    "2015 IEEE International Conference on Intelligent
                 Computer Communication and Processing (ICCP)",
  title =        "Evolutionary synthesis of hybrid controllers",
  year =         "2015",
  pages =        "133--140",
  abstract =     "Automatic synthesis of control systems for hybrid
                 systems is the main goal of the current approach. Such
                 applications are found in the cyber-physical systems.
                 These systems usually include some hardware components
                 endowed with sensors and actuators that integrate
                 software components. Each of the software components
                 provides verified control competences. The research had
                 the goal to conceive a method capable to automatically
                 synthesise the software that implements specified
                 competences and join them to compose the necessary
                 hybrid control system. Enhanced Time Petri Nets (ETPNs)
                 are used to model the different control components that
                 react accordingly to expected competences. The ETPNs
                 can model concurrent structures as well as their
                 implementation behaviours. These models can be
                 described by an ETPN based language (ETPNL). The
                 capability descriptions are transformed into Lisp
                 expressions that allow the use of Genetic Programming
                 (GP) to guide the software evolution according to some
                 performance criteria. The evolutionary system is used
                 to perform the controller adaptations to their specific
                 environments. For the general purpose, the control
                 system is composed of Discrete Event Controller (DEC)
                 and/or Discrete Time Controller (DTC), each of them
                 providing different kinds of competences. The control
                 system synthesis of an electric hydro power plant
                 composed of a lake and two generators is used to show
                 the application of this approach.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/ICCP.2015.7312618",
  month =        sep,
  notes =        "Also known as \cite{7312618}",
}

Genetic Programming entries for Tiberiu S Letia Attila O Kilyen

Citations