Reduced‐order observer‐based adaptive event‐triggered output feedback tracking control for a class of nonlinear systems with more general nonlinearities

Author:

Sun Chen1ORCID,Lin Yan2ORCID,Li Lin1

Affiliation:

1. School of Energy and Power Engineering Beihang University Beijing China

2. College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China

Abstract

AbstractThis article proposes an adaptive event‐triggered output feedback tracking scheme for a class of nonlinear systems for which the system nonlinearities coupling with unmeasurable states satisfy a more general growth condition than those in the existing literature. To estimate the transformed state variables, a reduced‐order observer is first designed by using the gain scaling and estimation‐based techniques. Then, triggering conditions and event‐triggered control law are designed based on the dynamic gain, the observer states and the tracking error. It is shown that with the proposed scheme, the system communication and computation resources can be saved, the nonlinearities and the execution error can be compensated, and the tracking error can converge to an arbitrarily small residual set.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

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