60 research outputs found

    Diagnosability of Fuzzy Discrete Event Systems

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    In order to more effectively cope with the real-world problems of vagueness, {\it fuzzy discrete event systems} (FDESs) were proposed recently, and the supervisory control theory of FDESs was developed. In view of the importance of failure diagnosis, in this paper, we present an approach of the failure diagnosis in the framework of FDESs. More specifically: (1) We formalize the definition of diagnosability for FDESs, in which the observable set and failure set of events are {\it fuzzy}, that is, each event has certain degree to be observable and unobservable, and, also, each event may possess different possibility of failure occurring. (2) Through the construction of observability-based diagnosers of FDESs, we investigate its some basic properties. In particular, we present a necessary and sufficient condition for diagnosability of FDESs. (3) Some examples serving to illuminate the applications of the diagnosability of FDESs are described. To conclude, some related issues are raised for further consideration.Comment: 14 pages; revisions have been mad

    Fault-tolerant control for automated highway systems

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    Stability analysis of swarms

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    Stability of a One-Dimensional Discrete-Time Asynchronous Swarm

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    Stable scheduling policies for flexible manufacturing systems

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    Adaptive control for a class of nonlinear systems with a time-varying structure

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    Intelligent control for brake systems

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    A separation principle for a class of non-UCO systems

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    Stable task load balancing strategies for Cooperative control of networked autonomous air vehicles

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