On Identification of Linear Systems with Quantized and Intermittent Information

In this paper, we consider a number of technical problems associated with identification of linear systems using quantized and intermittent information. More specifically, we study asymptotic properties for identification of such systems, including strong consistency, asymptotic normality and asymptotic efficiency, and determine their relationship with quantization errors and the packet losses. Furthermore, we discuss how to design quantizers to improve these asymptotic properties. Some open problems will also be proposed.