Supervisory control of a class of discrete event processes
SIAM Journal on Control and Optimization
On the supermal controllable sublanguage of a given language
SIAM Journal on Control and Optimization
On observability of discrete-event systems
Information Sciences: an International Journal - Robotics and Automation/Control Series
Fuzzy Petri nets for rule-based decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Clinical monitoring with fuzzy automata
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Petri Net Theory and the Modeling of Systems
Petri Net Theory and the Modeling of Systems
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fuzzy and Neuro-Fuzzy Systems in Medicine
Fuzzy and Neuro-Fuzzy Systems in Medicine
Fuzzy Control and Modeling: Analytical Foundations and Applications
Fuzzy Control and Modeling: Analytical Foundations and Applications
Petri Nets and Grafcet: Tools for Modelling Discrete Event Systems
Petri Nets and Grafcet: Tools for Modelling Discrete Event Systems
A Survey of Petri Net Methods for Controlled Discrete EventSystems
Discrete Event Dynamic Systems
Introduction to Automata Theory, Languages, and Computation (3rd Edition)
Introduction to Automata Theory, Languages, and Computation (3rd Edition)
Introduction to Discrete Event Systems
Introduction to Discrete Event Systems
Decision making in fuzzy discrete event systems
Information Sciences: an International Journal
Behavior-modulation technique in mobile robotics using fuzzy discrete event system
IEEE Transactions on Robotics
Modeling and control of fuzzy discrete event systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Supervisory control of fuzzy discrete event systems: a formal approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Supervisory control of fuzzy discrete event systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
State-Based Control of Fuzzy Discrete-Event Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Observability and decentralized control of fuzzy discrete-event systems
IEEE Transactions on Fuzzy Systems
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Diagnosability of fuzzy discrete-event systems: a fuzzy approach
IEEE Transactions on Fuzzy Systems
Mobile robot behavior coordination using supervisory control of fuzzy discrete event systems
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Bisimulations for fuzzy automata
Fuzzy Sets and Systems
A new algorithm for testing diagnosability of fuzzy discrete event systems
Information Sciences: an International Journal
From classic observability to a simple fuzzy observability for fuzzy discrete-event systems
Information Sciences: an International Journal
On the accessibility/controllability of fuzzy control systems
Information Sciences: an International Journal
Computation of the greatest simulations and bisimulations between fuzzy automata
Fuzzy Sets and Systems
On modeling of fuzzy hybrid systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In order to more effectively cope with the real-world problems of vagueness, impreciseness, and subjectivity, fuzzy discrete-event systems (FDESs) were proposed recently. Notably, FDESs have been applied to biomedical control for human immunodeficiency virus (HIV)/acquired immune deficiency syndrome (AIDS) treatment planning and sensory information processing for robotic control. Qiu et al. independently developed supervisory control theory of FDESs.We note that the controllability of events in Qiu's work is fuzzy, but the observability of events is crisp, and the observability of events in Cao and Ying's work is also crisp, although the controllability is not completely crisp since the controllable events can be disabled with any degrees. Motivated by the necessity to consider the situation that the events may be observed or controlled with some membership degrees, in this paper, we establish the supervisory control theory of FDESs with partial observations in which both the observability and controllability of events are fuzzy instead. We formalize the notions of fuzzy controllability condition and fuzzy observability condition. In addition, controllability and observability theorem of FDESs is set up in a more generic framework. In particular, we present a detailed computing flow to verify whether the controllability and observability conditions hold. Thus, this result can decide the existence of supervisors. Also, we use this computing method to check the existence of supervisors in the controllability and observability theorem of classical discrete-event systems (DESs), which is a new method and different from classical case. A number of examples are elaborated on to illustrate the presented results.