Volume 33, Issue 6 pp. 3874-3888
RESEARCH ARTICLE

Global output feedback control for large-scale time-delay systems with inherent nonlinearities and measurement uncertainty

Weiyong Yu

Weiyong Yu

Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, China

Hydrogen Energy Research Centre, Beijing Institute of Petrochemical Technology, Beijing, China

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Guocheng Sun

Guocheng Sun

Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, China

Hydrogen Energy Research Centre, Beijing Institute of Petrochemical Technology, Beijing, China

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Qianjin Guo

Corresponding Author

Qianjin Guo

Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, China

Hydrogen Energy Research Centre, Beijing Institute of Petrochemical Technology, Beijing, China

Correspondence Qianjin Guo, Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China.

Email: [email protected]

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Qiang Liu

Qiang Liu

Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, China

Hydrogen Energy Research Centre, Beijing Institute of Petrochemical Technology, Beijing, China

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First published: 17 January 2023
Citations: 3

Funding information: Beijing Municipal Commission of Education, Grant/Award Numbers: 22019821001; KM202210017001

Abstract

This paper investigates the problem of global state regulation by output feedback for a class of large-scale nonlinear time-delay systems with inherent nonlinearities and unknown measurement sensitivity. The uncertain nonlinearities are bounded by nonlinear growth of lower triangular unmeasurable (delayed) states multiplied by the unknown constant, polynomial-of-output and polynomial-of-input. Different from closely related works, the simultaneous existence of complicated nonlinearities and unknown measurement sensitivity makes the problem more involved and complex. Based on the dynamic gain scaling technique, we design a set of new adaptive output feedback controllers with a simpler structure by constructing two Lyapunov–Krasovskii functionals appropriately, which can globally regulate all states of the large-scale systems. An illustrative example is proposed to demonstrate the validity of the presented control scheme.

CONFLICT OF INTEREST

The authors declare no potential conflict of interests.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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