Event-Triggering in Distributed Networked Systems with Data Dropouts and Delays

This paper studies distributed networked systems with data dropouts and transmission delays. We propose a decentralized eventtriggering scheme, where a subsystem broadcasts its state information to its neighbors only when the subsystem’s local state error exceeds a specified threshold. The novelty of this scheme is its complete decentralization, which means that a subsystem’s broadcast decisions are made using its local sampled data, the maximal allowable transmission delay of a subsystem’s broadcast is predicted based on the local information, a subsystem locally identifies the maximal allowable number of its successive data dropouts, and the designer’s selection of the threshold only requires information about an individual subsystem and its immediate neighbors. With the assumption that the number of each subsystem’s successive data dropouts is less than the bound identified by that subsystem, if the bandwidth of the network is limited so that the transmission delays are...

• Type: Conference
• Year: 2009
• Where: HYBRID
• Authors: Xiaofeng Wang, Michael D. Lemmon
• Keywords: Data Dropouts, HYBRID 2009, Hybrid Systems, Subsystem’s Broadcast, Successive Data Dropouts