Paper Info
Title
Evolved finite state controller for hybrid system
Abstract
This paper presents an evolutionary methodology to automatically generate finite 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.
Year
DOI
Venue
2009
10.1145/1543834.1543850
GEC Summit
Keywords
Field
DocType
hybrid system,proposed evolutionary approach,evolutionary methodology,evolved finite state controller,training target,good performance,fsa controller,two-tank system,finite state automaton,case study,finite state automata,bond graph,genetic algorithm
Control theory,Computer science,Control theory,Finite state,Finite-state machine,Bond graph,Hybrid system,Genetic algorithm
Conference
Citations 
PageRank 
References 
0
0.34
9
Authors
3
Name
Order
Citations
PageRank
Jean-François Dupuis111.37
Zhun Fan232435.30
Erik Goodman314515.19