Fault Estimation and Fault‐Tolerant Consensus Tracking Control for Nonlinear Multi‐Agent Systems With Exogenous Disturbances

ABSTRACT This article addresses the fault estimation (FE) and fault‐tolerant consensus tracking (FTCT) problem for nonlinear multi‐agent systems (MASs) subject to unmeasurable leader states, actuator/sensor faults, and exogenous disturbances. The centralized‐distributed hybrid observers are constructed for each agent by integrating relative output information from neighbors and available leader signals. This observer enables simultaneous estimation of agent states, unmeasurable leader states, actuator/sensor faults, and exogenous disturbances. Based on the estimation information, the FTCT protocol is developed. The observer and consensus protocol are constructed separately to avoid parameter coupling. Utilizing the Schur decomposition, the LMI approach is proposed to solve the observer parameters. Finally, the effectiveness of the proposed method is verified via two simulation examples.

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Publication Details

Journal
International Journal of Adaptive Control and Signal Processing
Published
2026-05-16
DOI
https://doi.org/10.1002/acs.70106
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Fault Estimation and Fault‐Tolerant Consensus Tracking Control for Nonlinear Multi‐Agent Systems With Exogenous Disturbances

Lewei Dong, Jian Han, Xiuhua Liu, Sheng Wang
International Journal of Adaptive Control and Signal Processing
Distributed Control Multi-Agent Systems
article

Fault Estimation and Fault‐Tolerant Consensus Tracking Control for Nonlinear Multi‐Agent Systems With Exogenous Disturbances

Lewei Dong, Jian Han, Xiuhua Liu, Sheng Wang
article en

Abstract

ABSTRACT This article addresses the fault estimation (FE) and fault‐tolerant consensus tracking (FTCT) problem for nonlinear multi‐agent systems (MASs) subject to unmeasurable leader states, actuator/sensor faults, and exogenous disturbances. The centralized‐distributed hybrid observers are constructed for each agent by integrating relative output information from neighbors and available leader signals. This observer enables simultaneous estimation of agent states, unmeasurable leader states, actuator/sensor faults, and exogenous disturbances. Based on the estimation information, the FTCT protocol is developed. The observer and consensus protocol are constructed separately to avoid parameter coupling. Utilizing the Schur decomposition, the LMI approach is proposed to solve the observer parameters. Finally, the effectiveness of the proposed method is verified via two simulation examples.

International Journal of Adaptive Control and Signal Processing
Ludong University (CN)
Openalex Percentile: Top 3%
Distributed Control Multi-Agent Systems
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