Adaptive output feedback stabilization for nonlinear systems with unknown polynomial-of-output growth rate and sensor uncertainty

Yanjun Shen; Lei Lin

Kybernetika (2022)

  • Volume: 58, Issue: 4, page 637-660
  • ISSN: 0023-5954

Abstract

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In this paper, the problem of adaptive output feedback stabilization is investigated for a class of nonlinear systems with sensor uncertainty in measured output and a growth rate of polynomial-of-output multiplying an unknown constant in the nonlinear terms. By developing a dual-domination approach, an adaptive observer and an output feedback controller are designed to stabilize the nonlinear system by directly utilizing the measured output with uncertainty. Besides, two types of extension are made such that the proposed methods of adaptive output feedback stabilization can be applied for nonlinear systems with a large range of sensor uncertainty. Finally, numerical simulations are provided to illustrate the correctness of the theoretical results.

How to cite

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Shen, Yanjun, and Lin, Lei. "Adaptive output feedback stabilization for nonlinear systems with unknown polynomial-of-output growth rate and sensor uncertainty." Kybernetika 58.4 (2022): 637-660. <http://eudml.org/doc/299518>.

@article{Shen2022,
abstract = {In this paper, the problem of adaptive output feedback stabilization is investigated for a class of nonlinear systems with sensor uncertainty in measured output and a growth rate of polynomial-of-output multiplying an unknown constant in the nonlinear terms. By developing a dual-domination approach, an adaptive observer and an output feedback controller are designed to stabilize the nonlinear system by directly utilizing the measured output with uncertainty. Besides, two types of extension are made such that the proposed methods of adaptive output feedback stabilization can be applied for nonlinear systems with a large range of sensor uncertainty. Finally, numerical simulations are provided to illustrate the correctness of the theoretical results.},
author = {Shen, Yanjun, Lin, Lei},
journal = {Kybernetika},
keywords = {adaptive stabilization; polynomial-of-output growth rate; measurement sensitivity; output feedback; observer},
language = {eng},
number = {4},
pages = {637-660},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Adaptive output feedback stabilization for nonlinear systems with unknown polynomial-of-output growth rate and sensor uncertainty},
url = {http://eudml.org/doc/299518},
volume = {58},
year = {2022},
}

TY - JOUR
AU - Shen, Yanjun
AU - Lin, Lei
TI - Adaptive output feedback stabilization for nonlinear systems with unknown polynomial-of-output growth rate and sensor uncertainty
JO - Kybernetika
PY - 2022
PB - Institute of Information Theory and Automation AS CR
VL - 58
IS - 4
SP - 637
EP - 660
AB - In this paper, the problem of adaptive output feedback stabilization is investigated for a class of nonlinear systems with sensor uncertainty in measured output and a growth rate of polynomial-of-output multiplying an unknown constant in the nonlinear terms. By developing a dual-domination approach, an adaptive observer and an output feedback controller are designed to stabilize the nonlinear system by directly utilizing the measured output with uncertainty. Besides, two types of extension are made such that the proposed methods of adaptive output feedback stabilization can be applied for nonlinear systems with a large range of sensor uncertainty. Finally, numerical simulations are provided to illustrate the correctness of the theoretical results.
LA - eng
KW - adaptive stabilization; polynomial-of-output growth rate; measurement sensitivity; output feedback; observer
UR - http://eudml.org/doc/299518
ER -

References

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