Wireless Sensor Networks (WSNs) consist of many low cost and light sensors dispersed in an area to monitor the physical environment. Event detection in WSN area, especially detection of multi-events at the same time, is an important problem. This article is a new attempt for detection of two simultaneous events based on distributed data processing structure and Bayesian criteria. For accurate detection of two simultaneous events, we proposed new decision rules based on likelihood ratio test and also derived probability of detection error based on Bayesian criteria. In addition to multi-event detection, the proposed method is expanded to a fault-tolerant procedure if there are faults in decision making of sensors. Performance of the proposed approach is demonstrated for detection of events in different circumstances. Results show the effectiveness of the algorithm for fault-tolerant multi-event detection.
Fault-Tolerant Control of a 2 DOF Helicopter (TRMS System) Based on H_infinity
LASS Laboratory, Department of Electrical engineering, University of M’sila（穆西拉大学电气工程系LASS实验室）；LASS Laboratory, Department of Electronics, University of M’sila（穆西拉大学电子系LASS实验室）；Department of Electronics, University of Blida（布利达大学电子系）
A Primal-Dual-Based Active Fault-Tolerant Control Scheme for Cyber-Physical Systems: Application to DC Microgrids
Brandenburg University of Technology Cottbus–Senftenberg（勃兰登堡工业大学科特布斯-森夫滕贝格分校）；Fraunhofer Institute for Energy Infrastructures and Geotechnologies（弗劳恩霍夫能源基础设施与岩土工程研究所）
Distributed Adaptive Fault-Tolerant Control of Uncertain Multi-Agent Systems
Wright State University（赖特州立大学）；University of Cyprus（塞浦路斯大学）；Imperial College London（伦敦帝国学院）；University of Trieste（的里雅斯特大学）；Air Force Research Laboratory（空军研究实验室）
