Tua A. Tamba and Yul Y. Nazaruddin
L´evy process, stochastic stability, Lyapunov method
This paper examines the asymptotic stability of dynamical systems that are driven by L´evy processes. A Le´vy process is a stochastic process with stationary and independent increments. It includes both Wiener and Poisson jump processes and is suitable for simulta-
neous modelling of small and large ﬂuctuations in a system. In this paper, suﬃcient conditions for the asymptotic stability of the process’ sample paths are derived based on Lyapunov-like techniques. In particular, both the linear and non-linear representations of the
process are investigated in the presented stability analyses.