Browsing by Author "Prabhat, Kumar Jha"

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    Games for Efficient Supervisor Synthesis
    (2023) Hausmann, Daniel; Prabhat, Kumar Jha; Piterman, Nir; Department of Computer Science and Engineering, Computing Science (GU)
    In recent years, there has been an increasing interest in the connections between supervisory control theory and reactive synthesis. As the two fields use similar techniques there is great hope that technologies from one field could be used in the other. In this spirit, we provide an alternative reduction from the supervisor synthesis problem to solving Büchi games via games with a non-blocking objective. Our reduction is more compact and uniform than previous reductions. As a consequence, it gives an asymptotically better upper bound on the time complexity of the supervisory control synthesis problem. Our reduction also breaks a widely held belief about the impossibility of reducing the supervisory control synthesis problem to a game with a linear winning condition.