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
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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 senders 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.
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