Feedback control of Petri nets based on place invariants
Automatica (Journal of IFAC)
Supervisory Control of Discrete Event Systems Using Petri Nets
Supervisory Control of Discrete Event Systems Using Petri Nets
Petri net supervisors for discrete event systems
Petri net supervisors for discrete event systems
Methods for the supervisory control of concurrent systems based on petri net abstractions
Methods for the supervisory control of concurrent systems based on petri net abstractions
Supervision Based on Place Invariants: A Survey
Discrete Event Dynamic Systems
Supervisory Control of Concurrent Systems: A Petri Net Structural Approach (Systems & Control: Foundations & Applications)
Cooperation of agents in manufacturing systems
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
Cooperation of agents based on methods of DES supervising and control
Transactions on computational collective intelligence III
Cooperation of hybrid agents in models of manufacturing systems
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Modelling of agents cooperation and negotiation
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Supervision of agents modelling evacuation at crisis situations
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
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A modular approach to synthesis and control of DES (discrete-event systems) is proposed and tested. The modules of flexible manufacturing systems (FMS) are modelled by place/transition Petri nets (P/T PN) and assembled in order to cooperate in the framework of sub-systems of the global FMS. From system theory point of view PN models are understand to be subsystems (agents) of the global system (multi agent system). Both the author's previous results and existing knowledge in the area of supervisory control are utilized on this way. The applicability of the approach is demonstrated by examples.