Stochastic Dissipativity for Systems with Probabilistic Input Delays

Fuente: arXiv
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Hauptverfasser: LoCicero, Ethan, Strong, Amy, Bridgeman, Leila
Format: Preprint
Veröffentlicht: 2024
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author LoCicero, Ethan
Strong, Amy
Bridgeman, Leila
author_facet LoCicero, Ethan
Strong, Amy
Bridgeman, Leila
contents This work considers stochastic operators in general inner-product spaces, and in particular, systems with stochastically time-varying input delays of a known probability distribution. Stochastic dissipativity and stability are defined from an operator-theoretic perspective, and the well-known open-loop dissipativity conditions for closed-loop/network stability are extended to the stochastic case. Criteria are derived to identify dissipative nonlinear systems with stochastic input delays, and this result is used to find delay-distribution-dependent linear matrix inequality conditions for stochastic dissipativity of a linear system with input delays of a known probability distribution. A numerical experiment demonstrates the utility of the resulting criteria for robust plant analysis and controller design, highlighting significantly reduced conservatism compared to deterministic methods.
format Preprint
id arxiv_https___arxiv_org_abs_2401_02569
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Stochastic Dissipativity for Systems with Probabilistic Input Delays
LoCicero, Ethan
Strong, Amy
Bridgeman, Leila
Optimization and Control
This work considers stochastic operators in general inner-product spaces, and in particular, systems with stochastically time-varying input delays of a known probability distribution. Stochastic dissipativity and stability are defined from an operator-theoretic perspective, and the well-known open-loop dissipativity conditions for closed-loop/network stability are extended to the stochastic case. Criteria are derived to identify dissipative nonlinear systems with stochastic input delays, and this result is used to find delay-distribution-dependent linear matrix inequality conditions for stochastic dissipativity of a linear system with input delays of a known probability distribution. A numerical experiment demonstrates the utility of the resulting criteria for robust plant analysis and controller design, highlighting significantly reduced conservatism compared to deterministic methods.
title Stochastic Dissipativity for Systems with Probabilistic Input Delays
topic Optimization and Control
url https://arxiv.org/abs/2401.02569