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Robust Unknown Input Observer-Based Fault Estimation of Leader–Follower Linear Multi-agent Systems

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Abstract

In this paper, the problem of the robust unknown input observer for a class of linear multi-agent systems and its application to fault estimation are considered. First, an undirected graph is used to represent the communication topology of a leader–follower linear multi-agent system. Then, using relative output estimation errors among agents, an unknown input observer is proposed to achieve fault estimation for the global augmented system in which the actuator or sensor fault vector is taken as an auxiliary state vector. A multi-constrained design algorithm based on linear matrix inequality technique is also designed to obtain gain matrices of unknown input observer. Simulation results show the effectiveness and advantages of the proposed robust unknown input observer method for fault estimation of multi-agent systems.

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Authors and Affiliations

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, People’s Republic of China

    Ke Zhang, Guosheng Liu & Bin Jiang

Authors
  1. Ke Zhang
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  2. Guosheng Liu
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  3. Bin Jiang
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Corresponding author

Correspondence to Ke Zhang.

Additional information

This work is partially supported by the National Natural Science Foundation of China (61304112, 61428303, 61533008) and Natural Science Foundation of Jiangsu Province (BK20131364).

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Zhang, K., Liu, G. & Jiang, B. Robust Unknown Input Observer-Based Fault Estimation of Leader–Follower Linear Multi-agent Systems. Circuits Syst Signal Process 36, 525–542 (2017). https://doi.org/10.1007/s00034-016-0313-8

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  • DOI: https://doi.org/10.1007/s00034-016-0313-8

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