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.
|Title of host publication||IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2009. AIM 2009.|
|Publication status||Published - 2009|
|Event||IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2009. - Singapore|
Duration: 1 Jan 2009 → …
|Conference||IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2009.|
|Period||01/01/2009 → …|