An Adaptive Distributed Observer for a Class of Discrete-Time Uncertain Linear Leader Systems Over Jointly Connected Switching Networks

This article proposes an output-based adaptive distributed observer for a class of discrete-time uncertain linear leader systems. The leader system is neutrally stable with unknown parameters in its system matrix. Such a leader system can produce discrete-time multitone sinusoidal signals with arbitrary magnitudes, arbitrary phases, and unknown frequencies. The adaptive distributed observer for the uncertain leader system is obtained via a two-step design. In the first step, both the state and the unknown parameters are estimated by the recent techniques for estimating the unknown frequencies of discrete-time multitone sinusoidal signals. In the second step, a state-based adaptive distributed observer over jointly connected switching networks for the estimated unknown parameters and the estimated state of the leader system is designed. It is shown that the proposed output-based adaptive distributed observer is capable of estimating the state of the leader system over jointly connected switching networks, as well as estimating the unknown parameters in the uncertain system matrix of the leader system. A numerical example is presented to show the effectiveness of our design.

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Publication Details

Journal
IEEE Transactions on Automatic Control
Published
2024-10-31
DOI
https://doi.org/10.1109/tac.2024.3488821
Citations
3
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.05

Funders

Controls
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article

An Adaptive Distributed Observer for a Class of Discrete-Time Uncertain Linear Leader Systems Over Jointly Connected Switching Networks

Jie Huang, Tao Liu
3 citations
IEEE Transactions on Automatic Control
Distributed Control Multi-Agent Systems
1.05
article

An Adaptive Distributed Observer for a Class of Discrete-Time Uncertain Linear Leader Systems Over Jointly Connected Switching Networks

Jie Huang, Tao Liu
article en
3 citations

Abstract

This article proposes an output-based adaptive distributed observer for a class of discrete-time uncertain linear leader systems. The leader system is neutrally stable with unknown parameters in its system matrix. Such a leader system can produce discrete-time multitone sinusoidal signals with arbitrary magnitudes, arbitrary phases, and unknown frequencies. The adaptive distributed observer for the uncertain leader system is obtained via a two-step design. In the first step, both the state and the unknown parameters are estimated by the recent techniques for estimating the unknown frequencies of discrete-time multitone sinusoidal signals. In the second step, a state-based adaptive distributed observer over jointly connected switching networks for the estimated unknown parameters and the estimated state of the leader system is designed. It is shown that the proposed output-based adaptive distributed observer is capable of estimating the state of the leader system over jointly connected switching networks, as well as estimating the unknown parameters in the uncertain system matrix of the leader system. A numerical example is presented to show the effectiveness of our design.

IEEE Transactions on Automatic ControlVol. 70(4)
Chinese University of Hong Kong (HK), Southern University of Science and Technology (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 21%
Distributed Control Multi-Agent Systems
1.05
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An Adaptive Distributed Observer for a Class of Discrete-Time Uncertain Linear Leader Systems Over Jointly Connected Switching Networks — Jie Huang, Tao Liu · IEEE Transactions on Automatic Control (2024) | TGRS Research Map | TGRS