Simultaneous fault detection and consensus control design for a network of multi-agent systems

详细信息    查看全文

• 作者：Mohammadreza Davoodi^a ; ^{davoodi.mr@qu.edu.qa" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Nader Meskin^a ; ^{nader.meskin@qu.edu.qa" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Khashayar Khorasani^b ; ^{kash@ece.concordia.ca" class="auth_mail" title="E-mail the corresponding author}Author Vitae
• 关键词：Simultaneous fault detection and consensus control ; Multi-agent systems ; Linear matrix inequality (LMI) ; Autonomous underwater vehicles
• 刊名：Automatica
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：66
• 期：Complete
• 页码：185-194
• 全文大小：720 K

文摘

The problem of simultaneous fault detection and consensus control (SFDCC) of linear continuous-time multi-agent systems is addressed in this paper. A mixed H_∞/H₋$H_{\infty }/H_{-}$ formulation of the SFDCC problem is presented and distributed detection filters are designed using only relative output information among the agents. With our proposed methodology, all agents reach either a state consensus or a model reference consensus while simultaneously collaborate with one another to detect the occurrence of faults in the team. Indeed, each agent not only can detect its own fault but also is capable of detecting its neighbor’s faults. It is shown that through a decomposition approach the computational complexity of solving the distributed problem is significantly reduced as compared to an optimal centralized solution. The extended linear matrix inequalities (LMIs) are used to reduce the conservativeness of the SFDCC results by introducing additional matrix variables to eliminate the couplings of Lyapunov matrices with the system matrices. It is shown that under a special condition on the network topology the faulty agent can be isolated in the team. Simulation results corresponding to a team of autonomous unmanned underwater vehicles (AUVs) demonstrate and illustrate the effectiveness and capabilities of our proposed design methodology.