Monte-carlo techniques for falsification of temporal properties of non-linear hybrid systems
Proceedings of the 13th ACM international conference on Hybrid systems: computation and control
Automatic verification of control system implementations
EMSOFT '10 Proceedings of the tenth ACM international conference on Embedded software
CLSE: closed-loop symbolic execution
NFM'12 Proceedings of the 4th international conference on NASA Formal Methods
Probabilistic Temporal Logic Falsification of Cyber-Physical Systems
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on Probabilistic Embedded Computing
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This paper proposes a framework for determining the correctness and robustness of simulations of hybrid systems. The focus is on simulations generated from model-based design environments and, in particular, Simulink. The correctness and robustness of the simulation is guaranteed against floating-point rounding errors and system modeling uncertainties. Toward that goal, self-validated arithmetics, such as interval and affine arithmetic, are employed for guaranteed simulation of discrete-time hybrid systems. In the case of continuous-time hybrid systems, self-validated arithmetics are utilized for over-approximations of reachability computations.