Robust Deadlock Avoidance for Sequential Resource Allocation Systems With Resource Outages
Artikel i vetenskaplig tidskrift, 2017

While the supervisory control (SC) problem of (maximally permissive) deadlock avoidance for sequential resource allocation systems (RASs) has been extensively studied in the literature, the corresponding results that are able to address potential resource outages are quite limited, both, in terms of their volume and their control capability. This paper leverages the recently developed SC theory for switched discrete event systems (s-DES) in order to provide a novel systematic treatment of this more complicated version of the RAS deadlock avoidance problem. Following the modeling paradigm of s-DES, both the operation of the considered RAS and the corresponding maximally permissive SC policy are decomposed over a number of operational modes that are defined by the running sets of the failing resources. In particular, the target supervisor must be decomposed to a set of “localized predicates,” where each predicate is associated with one of the operational modes. A significant part, and a primary contribution, of this paper concerns the development of these localized predicates that will enable the formal characterization and the effective computation of the sought supervisor. With these predicates available, a distributed representation for the sought supervisor that is appropriate for real-time implementation is eventually obtained through an adaptation of the relevant distributed algorithm that is provided by the current s-DES SC theory.

Resource management

Robustness

System recovery

Production systems

Discrete-event systems

Supervisory control

Författare

Spyros Reveliotis

Georgia Institute of Technology

Zhennan Fei

Prover Technology

IEEE Transactions on Automation Science and Engineering

1545-5955 (ISSN) 15583783 (eISSN)

Vol. 14 4 1695 - 1711

Styrkeområden

Informations- och kommunikationsteknik

Produktion

Ämneskategorier (SSIF 2011)

Data- och informationsvetenskap

Elektroteknik och elektronik

DOI

10.1109/TASE.2017.2722382

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Senast uppdaterat

2026-06-18