Observer‐based fault tolerant control for a class of nonlinear multi‐agent systems with sensor faults.
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| Název: | Observer‐based fault tolerant control for a class of nonlinear multi‐agent systems with sensor faults. |
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| Autoři: | Chen, Jianliang, Li, Juan, Zhang, Yong, Cao, Yong‐Yan |
| Zdroj: | International Journal of Robust & Nonlinear Control; Apr2024, Vol. 34 Issue 6, p4132-4156, 25p |
| Témata: | MULTIAGENT systems, NONLINEAR systems, DETECTORS, DISTRIBUTED algorithms, FAULT-tolerant control systems, ADAPTIVE control systems |
| Abstrakt: | This article focuses on the robust fault tolerant control (FTC) problem for a class of Lipschitz nonlinear multi‐agent systems(MASs) subject to sensor faults. Firstly, sensor faults are transformed into actuator faults via introducing a new intermediate auxiliary state variable, and a distributed adaptive fault estimation observer is designed to estimate the state information and the concerned faults by using the relative output estimation error. Then, the sufficient existence conditions for the observer to satisfy the robust performance index are given. Thirdly, based on the results of observer design, a new design method of dynamic output feedback controller is proposed to implement consensus of MASs and ensure the desired disturbance rejection performance. Finally, the simulation results are presented to illustrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Robust & Nonlinear Control is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Databáze: | Complementary Index |
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