Polynomially Complex Synthesis of Distributed Supervisors for Large-Scale AMSs Using Petri Nets

Document Type

Article

Publication Date

9-1-2016

Abstract

Due to the competition for limited resources by many concurrent processes in large-scale automated manufacturing systems (AMSs), one has to resolve any deadlock issue in order to reach their production goals without disruption and downtime. Monolithic resolution is a conventional approach for optimal or acceptable solutions, but may suffer from computational difficulty. Some decentralized methods are more efficient in finding approximate solutions, but most are application dependent. By modeling AMSs as Petri nets, we develop an innovative distributed approach, which can create a trajectory leading to a desired goal and is adaptable to different kinds of applications. Control strategies are applied to processes locally such that they can proceed concurrently and efficiently. Global goals are always reachable through the local observation, control, and execution of processes without knowing external and extra information. Polynomially complex are designed to find distributed controllers.

Identifier

84951293086 (Scopus)

Publication Title

IEEE Transactions on Control Systems Technology

External Full Text Location

https://doi.org/10.1109/TCST.2015.2504046

ISSN

10636536

First Page

1610

Last Page

1622

Issue

5

Volume

24

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