Abstract
In this paper, we address the problem of local search for the falsification of hybrid automata with affine dynamics. Namely, given a sequence of locations and a maximum simulation time, we return the trajectory that comes closest to the unsafe set. This problem is formulated as a differentiable optimization problem and solved. The purpose of developing such a local search method is to combine it with high level stochastic optimization algorithms in order to falsify hybrid systems with complex discrete dynamics and high dimensional continuous spaces. Experimental results indicate that the local search procedure improves upon the results of pure stochastic optimization algorithms.
This work was partially supported by a grant from the NSF Industry/University Cooperative Research Center (I/UCRC) on Embedded Systems at Arizona State University and NSF award CNS-1017074.
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References
Girard, A., LeGuernic, C.: Efficient reachability analysis for linear systems using support functions. In: IFAC World Congress, pp. 22–35 (2008)
Althoff, M., Stursberg, O., Buss, M.: Computing reachable sets of hybrid systems using a combination of zonotopes and polytopes. Nonlinear Analysis: Hybrid Systems 4(2), 233–249 (2010)
Girard, A., Pappas, G.J.: Verification using simulation. In: Hespanha, J.P., Tiwari, A. (eds.) HSCC 2006. LNCS, vol. 3927, pp. 272–286. Springer, Heidelberg (2006)
Julius, A.A., Fainekos, G., Anand, M., Lee, I., Pappas, G.: Robust test generation and coverage for hybrid systems. In: Bemporad, A., Bicchi, A., Buttazzo, G. (eds.) HSCC 2007. LNCS, vol. 4416, pp. 329–342. Springer, Heidelberg (2007)
Branicky, M., Curtiss, M., Levine, J., Morgan, S.: Sampling-based planning, control and verification of hybrid systems. IEE Proc.-Control Theory Appl. 153(5), 575–590 (2006)
Zuliani, P., Platzer, A., Clarke, E.M.: Bayesian statistical model checking with application to simulink/stateflow verification. In: Proceedings of the 13th ACM International Conference on Hybrid Systems: Computation and Control, pp. 243–252 (2010)
Nghiem, T., Sankaranarayanan, S., Fainekos, G., Ivancic, F., Gupta, A., Pappas, G.: Monte-carlo techniques for falsification of temporal properties of non-linear hybrid systems. In: Hybrid Systems: Computation and Control (2010)
Fainekos, G., Pappas, G.: Robustness of temporal logic specifications for continuous-time signals. Theoretical Computer Science 410(42), 4262–4291 (2009)
Abbas, H., Fainekos, G.: Linear hybrid system falsification through descent, technical Report arXiv:1105.1733 (2011)
Tabuada, P.: Verification and Control of Hybrid Systems: A Symbolic Approach. Springer, Heidelberg (2009)
Julius, A.A., Pappas, G.J.: Trajectory based verification using local finite-time invariance. In: Majumdar, R., Tabuada, P. (eds.) HSCC 2009. LNCS, vol. 5469, pp. 223–236. Springer, Heidelberg (2009)
Lygeros, J., Johansson, K.H., Simic, S.N., Zhang, J., Sastry, S.: Dynamical properties of hybrid automata. IEEE Transactions on Automatic Control 48, 2–17 (2003)
Frehse, G., Guernic, C.L., Donzé, A., Cotton, S., Ray, R., Lebeltel, O., Ripado, R., Girard, A., Dang, T., Maler, O.: Spaceex: Scalable verification of hybrid systems. In: Gopalakrishnan, G., Qadeer, S. (eds.) CAV 2011. LNCS, vol. 6806, pp. 379–395. Springer, Heidelberg (2011)
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Abbas, H., Fainekos, G. (2011). Linear Hybrid System Falsification through Local Search. In: Bultan, T., Hsiung, PA. (eds) Automated Technology for Verification and Analysis. ATVA 2011. Lecture Notes in Computer Science, vol 6996. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24372-1_39
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DOI: https://doi.org/10.1007/978-3-642-24372-1_39
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