Numerical optimization design of dynamic quantizer via matrix uncertainty approach
type: Item
instance of: scholarly article
title: Numerical optimization design of dynamic quantizer via matrix uncertainty approach
zbMATH Open document ID: 1296.93107
DOI: 10.1155/2013/250683
author: Kenji Sawada
author: Seiichi Shin
published in: Mathematical Problems in Engineering
publication date: 2014-10-13T00:00:00Z
review text: Summary: In networked control systems, continuous-valued signals are compressed to discrete-valued signals via quantizers and then transmitted/received through communication channels. Such quantization often degrades the control performance; a quantizer must be designed that minimizes the output difference between before and after the quantizer is inserted. In terms of the broadbandization and the robustness of the networked control systems, we consider the continuous-time quantizer design problem. In particular, this paper describes a numerical optimization method for a continuous-time dynamic quantizer considering the switching speed. Using a matrix uncertainty approach of sampled-data control, we clarify that both the temporal and spatial resolution constraints can be considered in analysis and synthesis, simultaneously. Finally, for the slow switching, we compare the proposed and the existing methods through numerical examples. From the examples, a new insight is presented for the two-step design of the existing continuous-time optimal quantizer.
Mathematics Subject Classification ID: 93C62
Mathematics Subject Classification ID: 94A12
zbMATH DE Number: 6354191
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/250683
OpenAlex ID: W1983755287
Wikidata QID: Q59025159
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description: scientific article; zbMATH DE number 6354191