Linear and Nonlinear Event-Triggered Extended State Observers for Uncertain Stochastic Systems

Fuente: arXiv
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Auteurs principaux: Wu, Ze-Hao, Deng, Feiqi, Zhou, Hua-Cheng, Zhao, Zhi-Liang
Format: Preprint
Publié: 2023
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author Wu, Ze-Hao
Deng, Feiqi
Zhou, Hua-Cheng
Zhao, Zhi-Liang
author_facet Wu, Ze-Hao
Deng, Feiqi
Zhou, Hua-Cheng
Zhao, Zhi-Liang
contents In this paper, linear and nonlinear event-triggered extended state observers are designed for a class of uncertain stochastic systems driven by bounded and colored noises. Two event-generators with an ensured positive minimum inter-event time for every sample path solution of the stochastic systems, are proposed for the designs of linear and nonlinear event-triggered extended state observers, respectively. The mean square and almost sure convergence of the estimation errors of unmeasured state and stochastic total disturbance including internal uncertainty and external stochastic noises is presented with rigorous theoretical proofs. Compared with the linear event-triggered extended state observer, the theoretical results show that the nonlinear one via homogeneity possesses higher estimation accuracy but is at the price of higher triggering frequency. Some numerical simulations are performed to authenticate the theoretical results.
format Preprint
id arxiv_https___arxiv_org_abs_2302_02395
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Linear and Nonlinear Event-Triggered Extended State Observers for Uncertain Stochastic Systems
Wu, Ze-Hao
Deng, Feiqi
Zhou, Hua-Cheng
Zhao, Zhi-Liang
Optimization and Control
In this paper, linear and nonlinear event-triggered extended state observers are designed for a class of uncertain stochastic systems driven by bounded and colored noises. Two event-generators with an ensured positive minimum inter-event time for every sample path solution of the stochastic systems, are proposed for the designs of linear and nonlinear event-triggered extended state observers, respectively. The mean square and almost sure convergence of the estimation errors of unmeasured state and stochastic total disturbance including internal uncertainty and external stochastic noises is presented with rigorous theoretical proofs. Compared with the linear event-triggered extended state observer, the theoretical results show that the nonlinear one via homogeneity possesses higher estimation accuracy but is at the price of higher triggering frequency. Some numerical simulations are performed to authenticate the theoretical results.
title Linear and Nonlinear Event-Triggered Extended State Observers for Uncertain Stochastic Systems
topic Optimization and Control
url https://arxiv.org/abs/2302.02395