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.
|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 status||Published - 2009|
|Event||2009 World Summit on Genetic and Evolutionary Computation - Shanghai, China|
Duration: 12 Jun 2009 → 14 Jun 2009
|Conference||2009 World Summit on Genetic and Evolutionary Computation|
|Period||12/06/2009 → 14/06/2009|