Distributed fault estimation for delayed complex networks with Round-Robin protocol based on unknown input observer

• Published in: Journal of the Franklin Institute Vol. 357; no. 13; pp. 8678 - 8702
• Main Authors: Gao, Ming, Zhang, Wenhua, Sheng, Li, Zhou, Donghua
• Format: Journal Article
• Language: English
• Published: Elmsford Elsevier Ltd 01.09.2020; Elsevier Science Ltd
• Subjects: Design of experiments; Disturbances; Estimating techniques; Fault diagnosis; Linear matrix inequalities; Mathematical analysis; Networks; Nonlinear systems
• ISSN: 0016-0032; 1879-2693; 0016-0032
• DOI: 10.1016/j.jfranklin.2020.04.012

In this paper, the problem of distributed fault estimation is investigated for delayed complex networks with partially decoupled disturbances and sector-bounded nonlinearities. The data between each node and its neighboring ones of complex networks is transmitted through constrained networks, and the Round-Robin protocol is introduced to prevent data collisions over networks. An unknown input observer is designed for the ith node of complex networks by employing the information of adjacent nodes such that the disturbances are decoupled as much as possible. Moreover, the sufficient condition is derived to ensure the boundedness of the estimation error under the effect of disturbances that cannot be decoupled. The desired estimator gains can be calculated by solving linear matrix inequalities, and a numerical example is provided to illustrate the effectiveness of the developed methods.