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Stochastic Approximation Results for Hybrid Inclusions
Published in 2024 IEEE Conference on Decision and Control, 2024
A stochastic simulator that approximates the behavior of a hybrid system given in terms of a hybrid inclusion is considered. The simulator is a stochastic discrete-time system that employs a set-valued right-hand side when approximating flows. Under mild conditions on the data defining the simulator and the hybrid system, together with a non-uniform averaging condition, it is shown that almost every sample path of each solution generated by the stochastic simulator is close to a solution of the original hybrid system on compact time domains when the step size sequence is sufficiently small and converges to zero but is not summable.
Recommended citation: A. R. Teel, R. K. Goebel, R. G. Sanfelice, and M. F. Crisafulli, “Stochastic approximation results for hybrid inclusions,” in 2024 IEEE 63rd Conference on Decision and Control (CDC), Dec. 2024, pp. 7822–7827.
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