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

Title:

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

Creator:

Shen, Yanjun and Lin, Lei

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:faf9cc58-44ad-4ba2-913d-66f5af45d3ab
uuid:faf9cc58-44ad-4ba2-913d-66f5af45d3ab
doi:10.14736/kyb-2022-4-0637

Subject:

adaptive stabilization, polynomial-of-output growth rate, measurement sensitivity, output feedback, and observer

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

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.

Language:

English

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

637-660

Source:

Kybernetika | 2022 Volume:58 | Number:4

Harvested from:

CDK

Metadata only:

false