{"title":"Comment on: A robust observer based on the nonlinear descriptor systems application to estimate the state of charge of lithium-ion batteries","authors":"Mohamed Zerrougui","doi":"10.1016/j.jfranklin.2024.107287","DOIUrl":null,"url":null,"abstract":"<div><div>In the paper by Meng et al. (2023), an observer is proposed for nonlinear singular systems. The authors claim that their method effectively handles nonlinearity and disturbances affecting both the dynamic and algebraic parts of the system. They compare the performance of their observer with that proposed by Darouach et al. (2011), focusing on observer design for nonlinear singular systems with disturbances affecting the dynamic and algebraic parts as well as the output of the system. Furthermore, this approach has been extended to several other classes of systems, as discussed in Zerrougui et al. (2014) <span><span>[1]</span></span>, Darouach et al. (2013) <span><span>[2]</span></span>, and Darouach et al. (2010) <span><span>[3]</span></span>. Meng et al. apply their observer to estimate the state of charge of a lithium battery in comparison with the results in Snoussi et al. (2020). In this note, we aim to highlight the discrepancies between our respective findings. Specifically, we explain that the observer proposed by Meng et al. (2023), is more restrictive and may not be suitable for singular systems with nonlinear algebraic components or disturbances affecting this part or affecting outputs. Additionally, Meng et al. (2023) revisit the framework introduced in Darouach et al. (2011), adding a particular form for the matrix <span><math><mi>Φ</mi></math></span> that renders it more restrictive, without any contribution in the stability synthesis part.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"361 17","pages":"Article 107287"},"PeriodicalIF":3.7000,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Franklin Institute-engineering and Applied Mathematics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016003224007087","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
In the paper by Meng et al. (2023), an observer is proposed for nonlinear singular systems. The authors claim that their method effectively handles nonlinearity and disturbances affecting both the dynamic and algebraic parts of the system. They compare the performance of their observer with that proposed by Darouach et al. (2011), focusing on observer design for nonlinear singular systems with disturbances affecting the dynamic and algebraic parts as well as the output of the system. Furthermore, this approach has been extended to several other classes of systems, as discussed in Zerrougui et al. (2014) [1], Darouach et al. (2013) [2], and Darouach et al. (2010) [3]. Meng et al. apply their observer to estimate the state of charge of a lithium battery in comparison with the results in Snoussi et al. (2020). In this note, we aim to highlight the discrepancies between our respective findings. Specifically, we explain that the observer proposed by Meng et al. (2023), is more restrictive and may not be suitable for singular systems with nonlinear algebraic components or disturbances affecting this part or affecting outputs. Additionally, Meng et al. (2023) revisit the framework introduced in Darouach et al. (2011), adding a particular form for the matrix that renders it more restrictive, without any contribution in the stability synthesis part.
期刊介绍:
The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.