عنوان مقاله فارسی: ردیابی اجماع یادگیری تکراری به صورت کمی شبکه های دیجیتال با ارتباطات اطلاعاتی محدود

عنوان مقاله لاتین: Quantized Iterative Learning Consensus Tracking of Digital Networks With Limited Information Communication

نویسندگان: Wenjun Xiong; Xinghuo Yu; Yao Chen; Jie Gao

تعداد صفحات: 10

سال انتشار: 2017

زبان: لاتین

.

Abstract:

This brief investigates the quantized iterative learning problem for digital networks with time-varying topologies. The information is first encoded as symbolic data and then transmitted. After the data are received, a decoder is used by the receiver to get an estimate of the sender's state. Iterative learning quantized communication is considered in the process of encoding and decoding. A sufficient condition is then presented to achieve the consensus tracking problem in a finite interval using the quantized iterative learning controllers. Finally, simulation results are given to illustrate the usefulness of the developed criterion.