Distributed consensus over digital networks with limited bandwidth and time-varying topologies |
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Authors: | Tao Li Lihua Xie[Author vitae] |
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Affiliation: | aKey Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China;bSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore |
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Abstract: | In this paper, we consider discrete-time distributed average-consensus with limited communication data-rate and time-varying communication topologies. We design a distributed encoding-decoding scheme based on quantization of scaled innovations and a control protocol based on a symmetric compensation method. We develop an adaptive scheme to select the numbers of quantization levels according to whether the associated channel is active or not. We prove that if the network is jointly connected, then under the protocol designed, average-consensus can be asymptotically achieved, and the convergence rate is quantified. Especially, if the duration of any link failure in the network is bounded, then the control gain and the scaling function can be selected properly such that 5-level quantizers suffice for asymptotic average-consensus with an exponential convergence rate. |
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Keywords: | Multi-agent systems Distributed consensus Data rate Quantization Time-varying topology |
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