Safety of stochastic systems : an analytic and computational approach
Wisniewski, Rafal and Bujorianu, Luminita (2021) Safety of stochastic systems : an analytic and computational approach. Automatica, 133. 109839. ISSN 0005-1098 (https://doi.org/10.1016/j.automatica.2021.109839)
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Abstract
We refine the concept of stochastic reach avoidance for a general class of Markov processes introducing a threshold of p for the reaching probability. This new problem is called p-safety, and it aims to ensure that the given process reaches a forbidden set before leaving its ‘working’ state space with a probability of less than p. In the situation when an initial probability measure characterizes the initial states, a variant of p-safety is put forward. We call this form of safety weak p-safety. In this work, we characterize both p-safety and weak p-safety and show how to compute them. We employ semi-definite programming to compute p-safety and linear programming to compute weak p-safety. To get to this point, we use certificates of positivity of polynomials translated into the sum of squares and the Bernstein forms.
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Item type: Article ID code: 78036 Dates: DateEvent30 November 2021Published19 August 2021Published Online15 June 2021AcceptedSubjects: Technology > Hydraulic engineering. Ocean engineering Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering Depositing user: Pure Administrator Date deposited: 06 Oct 2021 14:04 Last modified: 11 Nov 2024 13:14 URI: https://strathprints.strath.ac.uk/id/eprint/78036