Modeling Constraint-based Processes: a Supervisory Control Theory Application

Eduardo Alves Portela Santos1, Agnelo Denis Vieira1, Sauro Schaidt1 and Eduardo de Freitas Rocha Loures1

  1. Pontificia Universidade Catolica do Parana, Graduate Program in Industrial and Systems Engineering and Graduate Program in Health Technology
    Imaculada Conceicao 1155, Curitiba, Brazil
    {eduardo.portela,agnelo.vieira, sauro.schaidt, eduardo.loures}


Constraint-based processes require a set of rules that limit their behavior to certain boundaries. In these processes, the control flow is defined implicitly as a set of constraints or rules, and all possibilities that do not violate any of the given constraints are allowed to be executed. The present paper proposes a new approach to deal with constraint-based processes. The proposed approach is based on Supervisory Control Theory, a formal foundation for building controllers for discrete-event systems. The controller proposed in this paper monitors and restricts execution sequences of activities such that constraints are always obeyed. We demonstrate that our approach may be used as a declarative language for constraint-based processes. In order to provide support for users of such processes and to facilitate the using of our control approach, we offer a set of constraints modeled by automata. This set encompasses the constraints frequently needed in workflow system.

Key words

constraint-based processes, Supervisory Control Theory, declarative languages, flexible processes

Digital Object Identifier (DOI)

Publication information

Volume 11, Issue 4 (October 2014)
Special Issue on Advances in Systems, Modeling, Languages and Agents
Year of Publication: 2014
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

Full text

DownloadAvailable in PDF
Portable Document Format

How to cite

Santos, E. A. P., Vieira, A. D., Schaidt, S., Loures, E. d. F. R.: Modeling Constraint-based Processes: a Supervisory Control Theory Application. Computer Science and Information Systems, Vol. 11, No. 4, 1229–1247. (2014)