Abstract:An application of the method suitable for modelling and control of general discrete event dynamic systems (DEDS) to special kinds of communication systems is presented in this paper. The approach is based on Petri nets (PN) defined in [12] and directed graphs (DG) described in [11]. It is supported by the previous author's works [1]-[10], [13].
“…Its nodes are the states reachable from the initial state x 0 and its edges are weighted by corresponding PN transitions enabling the state-to-state transit. The control synthesis based on RG is described in the author's works [3,5]. Consequently, this problem is not discussed here.…”
Section: The Illustrative Examplementioning
confidence: 99%
“…Namely, the ability to express the states of agents, the ability to test properties by means of the PN invariants and the reachability graph (RG) as well as the ability to synthesize the supervisory controllers by means of the invariants and RG [3,5] utilizing linear algebra predestinate PN to be frequently used. The model has the form as follows…”
Abstract. The systematic approach to the synthesis of the agent-supervisor supervising a group of agents is presented. It is based on results of the DES (discrete event systems) control theory. The agents as well as the agent-supervisor are understood to be DES and they are modelled by Petri nets (PN). The method based on PN place invariants is used in order to synthetise the supervisor. The illustrative example is introduced to explain the elementary steps of the proposed technique. A counterexample illustrating the limits of the approach is introduced too.
“…Its nodes are the states reachable from the initial state x 0 and its edges are weighted by corresponding PN transitions enabling the state-to-state transit. The control synthesis based on RG is described in the author's works [3,5]. Consequently, this problem is not discussed here.…”
Section: The Illustrative Examplementioning
confidence: 99%
“…Namely, the ability to express the states of agents, the ability to test properties by means of the PN invariants and the reachability graph (RG) as well as the ability to synthesize the supervisory controllers by means of the invariants and RG [3,5] utilizing linear algebra predestinate PN to be frequently used. The model has the form as follows…”
Abstract. The systematic approach to the synthesis of the agent-supervisor supervising a group of agents is presented. It is based on results of the DES (discrete event systems) control theory. The agents as well as the agent-supervisor are understood to be DES and they are modelled by Petri nets (PN). The method based on PN place invariants is used in order to synthetise the supervisor. The illustrative example is introduced to explain the elementary steps of the proposed technique. A counterexample illustrating the limits of the approach is introduced too.
“…The inputs of the procedure are the matrices F, G T and the initial state vector x 0 . The DEDS control synthesis based on the simple idea was also presented in [8]: (i) developing the straight-lined reachability tree (SLRT) from the given initial state x 0 towards the prescribed terminal state x t ; (ii) developing the backtracking reachability tree (BTRT) from x t towards x 0 however, directed to x t ; (iii) intersecting both the SLRT and BTRT. All of the steps are performed numerically in Matlab.…”
Section: Analyzing the Model And The Control Synthesismentioning
confidence: 99%
“…In [8] the Matlab procedure enumerating the (n RT × n RT )-dimensional quasifunctional adjacency matrix A of the RG and the space of the reachable states in the form of the (n×n RT )-dimensional matrix X reach was presented. The matrices fully characterize the RG.…”
Section: Analyzing the Model And The Control Synthesismentioning
confidence: 99%
“…PN were chosen to model MAS too [12], [11]. On the base of previous experience [3], [4], [7] with PN-based modelling and control synthesis of the discrete event dynamic systems (DEDS) and the agent cooperation [5], [6] a new approach to modelling, analysis and control of the negotiation process is proposed here. The negotiation process is understood to be DEDS.…”
Abstract. An alternative approach to modelling and analysis of interactions among agents in multiagent systems (MAS) and their control is presented in analytical terms. The reachability graph of the Petri net (PN)-based model of MAS is found as well as the space of feasible states. Trajectories representing the interaction processes among agents in MAS are computed by means of the mutual intersection of both the straightlined reachability tree (from a given initial state towards the terminal one) and the backtracking reachability tree (from the desired terminal state towards the initial one however, oriented towards the terminal state). Control interferences are obtained on base of the most suitable trajectory chosen from the set of feasible ones.
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