Title :
A Framework for Worst-Case and Stochastic Safety Verification Using Barrier Certificates
Author :
Prajna, Stephen ; Jadbabaie, Ali ; Pappas, George J.
Author_Institution :
Credit Suisse, New York
Abstract :
This paper presents a methodology for safety verification of continuous and hybrid systems in the worst-case and stochastic settings. In the worst-case setting, a function of state termed barrier certificate is used to certify that all trajectories of the system starting from a given initial set do not enter an unsafe region. No explicit computation of reachable sets is required in the construction of barrier certificates, which makes it possible to handle nonlinearity, uncertainty, and constraints directly within this framework. In the stochastic setting, our method computes an upper bound on the probability that a trajectory of the system reaches the unsafe set, a bound whose validity is proven by the existence of a barrier certificate. For polynomial systems, barrier certificates can be constructed using convex optimization, and hence the method is computationally tractable. Some examples are provided to illustrate the use of the method.
Keywords :
continuous systems; control nonlinearities; convex programming; nonlinear control systems; probability; stochastic systems; uncertain systems; barrier certificates; continuous system; control nonlinearities; convex optimization; hybrid system; polynomial system; probability; safety verification; stochastic setting; worst-case setting; Air safety; Nonlinear systems; Optimization methods; Piecewise linear approximation; Polynomials; Safety devices; Stochastic processes; Stochastic systems; Uncertainty; Upper bound; Barrier certificates; hybrid systems; nonlinear systems; safety verification; stochastic systems; sum of squares optimization;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2007.902736