Quantized Iterative Learning Consensus Tracking of Digital Networks With Limited Information Communication.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 26960229.
- Also identified by DOI 10.1109/TNNLS.2016.2532351.
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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 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.