Title :
Probabilistic testing for stochastic hybrid systems
Author :
Julius, A. Agung ; Pappas, George J.
Author_Institution :
Dept. Electr. & Syst. Eng., Univ. of Pennsylvania, Philadelphia, PA, USA
Abstract :
In this paper we propose a testing based method for safety/ reachability analysis of stochastic hybrid systems. Testing based methods are characterized by analysis based on the execution traces of the system or the simulation thereof. Testing based method is very appealing because of the simplicity of its execution, the possibility of having a partial verification, and its highly parallel structure. The key idea in this paper is the construction of a robust neighborhood consisting of states that have the same probabilistic safety/reachability properties. We construct the robust neighborhood using the level sets of a stochastic bisimulation function. We also show how to construct stochastic bisimulation functions for systems whose continuous dynamics is stable and linear. As a case example, we consider the problem of conflict detection of aircraft flight, and show that we can infer some robust probabilistic safety property by using the algorithm that we present in this paper.
Keywords :
probability; reachability analysis; stochastic systems; probabilistic safety property; probabilistic testing; reachability property; robust neighborhood concept; stochastic bisimulation function; stochastic hybrid system; testing based method; Aerospace safety; Air safety; Aircraft manufacture; Analytical models; Level set; Reachability analysis; Robustness; Stochastic processes; Stochastic systems; System testing;
Conference_Titel :
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-3123-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2008.4739166