title: A consensus-based multi-agent approach for estimation in robust fault detection.
abstract: This paper is devoted to distributed estimation in robust fault detection for sensor networks with networked-induced delays and packet dropouts by using a consensus-based multi-agent approach. Utilizing the information interaction and coordination among the neighboring networks based on multi-agent theory, we design novel and multiple agent-based robust fault detection filters (RFDFs) subject to only partial estimated and measured information. Asymptotically stable sufficient conditions for the innovative constructed filters are derived in the form of linear matrix inequality (LMI) and the threshold fit for each agent-based RFDF is determined. An illustrative example is given to demonstrate the effectiveness of the consensus-based multi-agent approach for the estimation in robust fault detection.
authors: College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110819, China; State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning 110819, China. Electronic address: jiangneu@gmail.com.
authors: Yulian
authors: Y
authors: Jiang
authors: College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110819, China.
authors: Jianchang
authors: J
authors: Liu
authors: College of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, Jilin 130012, China.
authors: Shenquan
authors: S
authors: Wang
keywords: Consensus; Distributed estimation; Fault detection; Multi-agent theory; Sensor network