{"title":"Comparison between different control strategies for estimation purposes using Control-based Observer paradigm","authors":"A. Popescu, G. Besançon, A. Voda","doi":"10.1109/ICSTCC.2018.8540727","DOIUrl":null,"url":null,"abstract":"This paper presents a comparison between different control strategies used for estimation purposes for systems with unknown inputs in the recently proposed Control-based Observer approach. In particular, several robust state and unknown inputs observers are derived using classical controllers such as Proportional or Proportional Integral, Linear Quadratic Regulator or Linear Quadratic Integrator and H∞ Full information. They are also compared with criteria such as the quality of the estimation, the speed of the observers, the robustness against the noise and the complexity of the observers. Simulation results are provided to better highlight the comparison.","PeriodicalId":308427,"journal":{"name":"2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)","volume":"210 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCC.2018.8540727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a comparison between different control strategies used for estimation purposes for systems with unknown inputs in the recently proposed Control-based Observer approach. In particular, several robust state and unknown inputs observers are derived using classical controllers such as Proportional or Proportional Integral, Linear Quadratic Regulator or Linear Quadratic Integrator and H∞ Full information. They are also compared with criteria such as the quality of the estimation, the speed of the observers, the robustness against the noise and the complexity of the observers. Simulation results are provided to better highlight the comparison.