Optimization-based falsification employs stochastic optimization algorithms to search for error input of hybrid systems. In this paper we introduce a simple ...

Linear hybrid system falsification through descent. Technical Report. arXiv:1105.1733. ABBAS, H. AND FAINEKOS, G. 2011b. Linear hybrid system falsification ...

Specifically, given a test suite (i.e., the set of test inputs sampled by a falsification algorithm) that does not contain a falsifying input, the coverage ...

Mar 13, 2020 · ▷ Assert: linear constraints over I, does not depend on time. ▷ Obs ... Now that we have qu_d, we can use gradient descent to make qrelay go from ...

Finds a local maximum: may be useful in certain cases. Simpler than gradient descent (no derivatives to compute), but less efficient. 43 / 50 ...

Abstract. Falsification techniques for models of embedded control systems au- tomate the process of testing models to find bugs by searching for model- ...

In local search, it exploits derivatives for efficient computation. Unlike other methods for falsification of hybrid systems with deterministic evolution, we do ...

in searching for a falsifying input, i.e., an input signal u such that the corresponding output M(u) violates ϕ. Falsification algorithms cast the problem as an ...

linearly with respect to BO with ... Arcaini, “Multi-armed bandits for boolean connectives in hybrid system falsification,” in International Conference on ...

Linear Hybrid System Falsification With Descent · Houssam AbbasGeorgios Fainekos. Computer Science, Engineering. 2011. TLDR. The purpose of developing such a ...