Analysis and design of event-triggered networked control systems

Networked control systems (NCSs) have been receiving increasing research attention in the last decade due to their attractive advantages such as flexible installation, low cost and easy maintenance, which lead to the wide applications in industry, agriculture, aerospace, remote surgery, and so on. A fundamental property of NCSs is the introduced network channels, which are bandwidth limited. This thesis is mainly concerned with how to effectively save the limited network resources, network bandwidth and/or battery power, while some desired control performance can be maintained. For this purpose, event-triggered transmission schemes are considered for NCSs to reduce some unnecessary network transmissions. The idea of the event-triggered transmission scheme is that the current sampled data is released for transmission whenever the error between the current and the latest transmitted sampled data exceeds a pre-designed threshold. An input delay method together with sampled-data error bounds induced from event-triggered transmission schemes is employed to model the inter-event dynamics. In this thesis, the event-triggered transmission schemes are studied in linear NCSs with signal quantization, networkinduced delays, packet dropouts, respectively, followed by its application in a class of nonlinear systems represented by Takagi-Sugeno (T-S) fuzzy models.