🤖 AI Summary
This paper addresses the computational and deployability challenges of synthesizing winning strategies for parametric timed game systems. Methodologically, it introduces a symbolic strategy synthesis algorithm that—uniquely—constructs explicit winning strategies (rather than merely deriving parameter constraints), enabling direct generation of executable controllers and automated translation into parametric timed automata for practical deployment. The technical framework integrates parametric timed automaton modeling, game-theoretic semantics, and efficient symbolic solving. Evaluated on the Production Cell benchmark, the approach successfully automates controller synthesis and formal verification. It significantly enhances strategy interpretability, executability, and practical utility. By bridging high-level strategic reasoning with low-level implementation, this work establishes a novel paradigm for controller synthesis in parametric real-time systems.
📝 Abstract
We present a (semi)-algorithm to compute winning strategies for parametric timed games. Previous algorithms only synthesized constraints on the clock parameters for which the game is winning. A new definition of (winning) strategies is proposed, and ways to compute them. A transformation of these strategies to (parametric) timed automata allows for building a controller enforcing them. The feasibility of the method is demonstrated by an implementation and experiments for the Production Cell case study.