Adaptive State-Feedback Stabilization for Stochastic Nonlinear Systems with Time-Varying Powers and Unknown Covariance

This paper investigates the adaptive state-feedback stabilization problem for stochastic nonlinear systems. Compared with the existing results, we consider more general and more practical systems, i.e., systems with time-varying powers and unknown covariance simultaneously. We propose a new adaptive...

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Main Authors: Jiabao Gu, Hui Wang, Wuquan Li, Ben Niu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/16/2873
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author Jiabao Gu
Hui Wang
Wuquan Li
Ben Niu
author_facet Jiabao Gu
Hui Wang
Wuquan Li
Ben Niu
author_sort Jiabao Gu
collection DOAJ
description This paper investigates the adaptive state-feedback stabilization problem for stochastic nonlinear systems. Compared with the existing results, we consider more general and more practical systems, i.e., systems with time-varying powers and unknown covariance simultaneously. We propose a new adaptive state-feedback control method, which ensures that the closed-loop system is globally stable in probability and the states are regulated to the origin almost surely. Finally, the feasibility of the design method is verified by two examples.
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spelling doaj.art-2e5f4b0b171e45d5a482253f1fd447972023-12-01T23:57:23ZengMDPI AGMathematics2227-73902022-08-011016287310.3390/math10162873Adaptive State-Feedback Stabilization for Stochastic Nonlinear Systems with Time-Varying Powers and Unknown CovarianceJiabao Gu0Hui Wang1Wuquan Li2Ben Niu3School of Mathematics and Statistics Science, Ludong University, Yantai 264025, ChinaSchool of Mathematics and Statistics Science, Ludong University, Yantai 264025, ChinaSchool of Mathematics and Statistics Science, Ludong University, Yantai 264025, ChinaSchool of Information Science and Engineering, Shandong Normal University, Jinan 250014, ChinaThis paper investigates the adaptive state-feedback stabilization problem for stochastic nonlinear systems. Compared with the existing results, we consider more general and more practical systems, i.e., systems with time-varying powers and unknown covariance simultaneously. We propose a new adaptive state-feedback control method, which ensures that the closed-loop system is globally stable in probability and the states are regulated to the origin almost surely. Finally, the feasibility of the design method is verified by two examples.https://www.mdpi.com/2227-7390/10/16/2873stochastic nonlinear systemsadaptive state-feedback stabilizationunknown covariance
spellingShingle Jiabao Gu
Hui Wang
Wuquan Li
Ben Niu
Adaptive State-Feedback Stabilization for Stochastic Nonlinear Systems with Time-Varying Powers and Unknown Covariance
Mathematics
stochastic nonlinear systems
adaptive state-feedback stabilization
unknown covariance
title Adaptive State-Feedback Stabilization for Stochastic Nonlinear Systems with Time-Varying Powers and Unknown Covariance
title_full Adaptive State-Feedback Stabilization for Stochastic Nonlinear Systems with Time-Varying Powers and Unknown Covariance
title_fullStr Adaptive State-Feedback Stabilization for Stochastic Nonlinear Systems with Time-Varying Powers and Unknown Covariance
title_full_unstemmed Adaptive State-Feedback Stabilization for Stochastic Nonlinear Systems with Time-Varying Powers and Unknown Covariance
title_short Adaptive State-Feedback Stabilization for Stochastic Nonlinear Systems with Time-Varying Powers and Unknown Covariance
title_sort adaptive state feedback stabilization for stochastic nonlinear systems with time varying powers and unknown covariance
topic stochastic nonlinear systems
adaptive state-feedback stabilization
unknown covariance
url https://www.mdpi.com/2227-7390/10/16/2873
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AT huiwang adaptivestatefeedbackstabilizationforstochasticnonlinearsystemswithtimevaryingpowersandunknowncovariance
AT wuquanli adaptivestatefeedbackstabilizationforstochasticnonlinearsystemswithtimevaryingpowersandunknowncovariance
AT benniu adaptivestatefeedbackstabilizationforstochasticnonlinearsystemswithtimevaryingpowersandunknowncovariance