https://scholars.lib.ntu.edu.tw/handle/123456789/611751
標題: | Identifiability of Generalized Randles Circuit Models | 作者: | Alavi S.M.M. Mahdi A. Payne S.J. Howey D.A. STEPHEN JOHN PAYNE |
關鍵字: | Biomedical engineering;Cell engineering;Circuit simulation;Circuit theory;Digital storage;Electroencephalography;Electrophysiology;Fuel cells;Fuel storage;Resistors;Timing circuits;Tissue engineering;Topology;Electrochemical energy storage;Electrode-tissue interface;Extensive simulations;Identifiability;Input-output data;Model parameters;Randles circuit;Super capacitor;Parameter estimation | 公開日期: | 2017 | 卷: | 25 | 期: | 6 | 起(迄)頁: | 2112-2120 | 來源出版物: | IEEE Transactions on Control Systems Technology | 摘要: | The Randles circuit (including a parallel resistor and capacitor in series with another resistor) and its generalized topology have widely been employed in electrochemical energy storage systems, such as batteries, fuel cells, and supercapacitors, also in biomedical engineering, for example, to model the electrode-tissue interface in electroencephalography and baroreceptor dynamics. This paper studies identifiability of generalized Randles circuit models, that is, whether the model parameters can be estimated uniquely from the input-output data. It is shown that generalized Randles circuit models are structurally locally identifiable. The condition that makes the model structure globally identifiable is then discussed. Finally, the estimation accuracy with respect to noise-free, noisy, zero-mean, and nonzero-mean data is evaluated through extensive simulations. The existing tradeoff between the estimation of Warburg term and other parameters by using zero- A nd nonzero-mean data is fully discussed. ? 2017 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007137839&doi=10.1109%2fTCST.2016.2635582&partnerID=40&md5=3c9ceaeb64552f983926d427acb8d5b3 https://scholars.lib.ntu.edu.tw/handle/123456789/611751 |
ISSN: | 10636536 | DOI: | 10.1109/TCST.2016.2635582 |
顯示於: | 應用力學研究所 |
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