Title :
Supervisory control of probabilistic discrete-event systems with recovery
Author :
Li, Yonghua ; Lin, Feng ; Lin, Zheng Hui
Author_Institution :
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
fDate :
10/1/1999 12:00:00 AM
Abstract :
The authors discuss supervisory control of probabilistic discrete event systems. Supervisors for such systems will take probabilities of event occurrences into consideration in making control decisions. The authors introduce a concept called “ε-containment of a given language” and subsequently study its algebraic properties. They discuss standard supervisor (with only enablement/disablement) synthesis problems and reset supervisor (with recovery mechanism) synthesis problems for both fully observed and partially observed systems
Keywords :
algebra; controllability; discrete event systems; formal languages; observability; observers; probability; ϵ-containment; algebraic properties; control decisions; fully observed systems; partially observed systems; probabilistic discrete-event systems; recovery; reset supervisor synthesis; standard supervisor synthesis; supervisory control; Circuits; Control system synthesis; Control systems; Controllability; Discrete event systems; Law; Legal factors; Observability; Power generation; Supervisory control;
Journal_Title :
Automatic Control, IEEE Transactions on