- author = "Branislav Kadlic and Ivan Sekaj and Daniel Pernecky",
- title = "Design of Continuous-time Controllers using Cartesian Genetic Programming",
- journal = "IFAC Proceedings Volumes",
- volume = "47",
- number = "3",
- pages = "6982--6987",
- year = "2014",
- note = "19th IFAC World Congress",
- keywords = "genetic algorithms, genetic programming, continuous-time control, controller structure design, control performance optimization, non-linear systems",
- ISSN = "1474-6670",
-
DOI = "
doi:10.3182/20140824-6-ZA-1003.00915",
-
URL = "
http://www.sciencedirect.com/science/article/pii/S1474667016427114",
- size = "6 pages",
- abstract = "An evolutionary computation - based design/optimisation approach using the Cartesian Genetic Programming is proposed for non-linear continuous-time process control. It is a simplification of a more general Genetic Programming - based design, which is powerful, but more computationally demanding. The approach is able to produce effective and non-intuitive controllers in the form of a network of interconnected elementary building blocks, which minimize the defined performance index. Each building block performs mathematical operations between its inputs, next it contains gain and an elementary dynamic part as integrator, derivative or unity gain. The proposed design method is demonstrated on water turbine control design, and the results are compared with the genetic algorithm-based PID controller design.",
-
notes = "Proceedings of the 19th World Congress, The
International Federation of Automatic Control, Cape
Town, South Africa. August 24-29,
2014
978-3-902823-62-5/2014 IFAC
Institute of Control and Industrial Informatics Faculty of Electrical Engineering and Information Technology Slovak University of Technology, Bratislava, Slovak Republic",
