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国家自然科学基金(60903030)

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Safety Verification of Semi-Algebraic Dynamical Systems via Inductive Invariant
2014年
To verify the safety of nonlinear dynamical systems based on inductive invariants, key issues include defining the most complete inductive condition and discovering an inductive invariant that satisfies the specified inductive condition. In this paper, to lay a solid foundation for future research into the safety verification of semi- algebraic dynamical systems, we first establish a formal framework for evaluating the quality of continuous inductive conditions. In addition, we propose a new complete and computable inductive condition for verifying the safety of semi-algebraic dynamical systems. Compared with the existing complete and computable inductive condition, this new inductive condition can be easily adapted to achieve a set of sufficient inductive conditions with different level of conservativeness and computational complexity, which provides us with a means to trade off between the verification power and complexity. These inductive conditions can be solved by quantifier elimination and SMT solvers.
Hui KongFei HeXiaoyu SongMing GuHongyan TanJiaguang Sun
SMT-based query tracking for differentially private data analytics systems
2018年
Chen LUOFei HE
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