Conference paper
Evolved finite state controller for hybrid system in reduced search space
This paper presents an evolutionary methodology to automatically generate finite state automata (FSA) controllers to control hybrid systems. The proposed approach reduces the search space using an invariant analysis of the system. 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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2009 |
| Pages: | 833-838 |
| Proceedings: | 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics |
| ISBN: | 1424428521 , 9781424428526 , 142442853X , 1424428548 , 9781424428533 and 9781424428540 |
| Types: | Conference paper |
| DOI: | 10.1109/AIM.2009.5229908 |
Actuators Automata Automatic control Automatic generation control Bonding Control systems FSA Hybrid power systems Information processing Mechatronics Switches evolutionary computation evolutionary methodology finite state automata controller finite state machines hybrid control system invariance invariant analysis mechatronic system mechatronics reduced search space search problems two-tank system
