Supervisory control of a class of discrete event processes
SIAM Journal on Control and Optimization
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
The generalised method for solving problems of the DEDS control synthesis
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
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 procedure of control synthesis for DES (discrete-event systems) modelled by the special class of place/transition Petri nets (P/T PNs), the so called state machines (SMs), is introduced here, generalized and extended for DES modelled by P/T PNs with general structure. Its applicability to the automatic DES control synthesis is presented as well as the possibility of its utilizing at supervision of the agent cooperation in multi-agent systems (MAS). For modelling the agents P/T PNs are utilized too. The usefulness of the approach is demonstrated by examples.