Abstract
This paper presents an evolutionary methodology to automatically generate nite state automata (FSA) controllers
to control hybrid systems. FSA controllers for a case study
of two-tank system have been successfully obtained using
the proposed evolutionary approach. Experimental results
show that these controllers have good performance on the
set of training targets as well as on a randomly generated
set of validation targets.
| Original language | English |
|---|---|
| Title of host publication | 2009 World Summit on Genetic and Evolutionary Computation, 2009 GEC Summit - Proceedings of the 1st ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC'09 |
| Publisher | Association for Computing Machinery |
| Publication date | 2009 |
| Pages | 105-111 |
| ISBN (Print) | 9781605583266 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | 2009 World Summit on Genetic and Evolutionary Computation - Shanghai, China Duration: 12 Jun 2009 → 14 Jun 2009 http://www.sigevo.org/gec-summit-2009/ |
Conference
| Conference | 2009 World Summit on Genetic and Evolutionary Computation |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 12/06/2009 → 14/06/2009 |
| Internet address |