Title :
Inductive inference of optimal controllers for uncertain logical discrete event systems
Author :
Yang, Xiaojun ; Lemmon, Mike ; Antsaklis, Panos
Author_Institution :
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
Abstract :
This paper summarizes preliminary results on the implementation and convergence of an inductive learning algorithm used to identify optimal logical DES controllers. The algorithm is a modification of Angluin´s L* procedure. It uses queries to an equivalence oracle and incomplete membership oracle to learn a minimal deterministic finite automaton consistent with the supremal controllable sublanguage of a known specification language and unknown plant. This paper shows how the proposed algorithm is implemented, provides results on the procedure´s convergence properties, and presents an example illustrating its use
Keywords :
deterministic automata; discrete event systems; finite automata; inference mechanisms; optimal control; specification languages; uncertain systems; L* procedure; convergence; equivalence oracle; incomplete membership oracle; inductive inference; minimal deterministic finite automaton; optimal controllers; specification language; supremal controllable sublanguage; uncertain logical discrete event systems; Approximation algorithms; Automata; Automatic control; Control systems; Convergence; Discrete event systems; Law; Legal factors; Optimal control; Predictive models;
Conference_Titel :
Intelligent Control, 1995., Proceedings of the 1995 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-2722-5
DOI :
10.1109/ISIC.1995.525118