{"title":"Control of arterial partial pressure of oxygen in patients with respiratory abnormalities using an adaptive observer.","authors":"V. Kroumov, K. Yoshino","doi":"10.1163/156855700750265477","DOIUrl":null,"url":null,"abstract":"A system for controlling the arterial partial pressure of oxygen in patients on long-term oxygen therapy is proposed. After performing a parameter estimation of the model of pulmonary system, an adaptive observer is applied to perform the control task. The observer considers the model uncertainties as disturbances and rejects their impact on the system. As a result of this, the quality of the control can be drastically improved. The presented simulation and experimental results show the effectiveness of the proposed scheme. The proposed control scheme is applicable without preliminary adjustment of the control parameters.","PeriodicalId":77139,"journal":{"name":"Frontiers of medical and biological engineering : the international journal of the Japan Society of Medical Electronics and Biological Engineering","volume":"17 1","pages":"303-18"},"PeriodicalIF":0.0000,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers of medical and biological engineering : the international journal of the Japan Society of Medical Electronics and Biological Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1163/156855700750265477","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
A system for controlling the arterial partial pressure of oxygen in patients on long-term oxygen therapy is proposed. After performing a parameter estimation of the model of pulmonary system, an adaptive observer is applied to perform the control task. The observer considers the model uncertainties as disturbances and rejects their impact on the system. As a result of this, the quality of the control can be drastically improved. The presented simulation and experimental results show the effectiveness of the proposed scheme. The proposed control scheme is applicable without preliminary adjustment of the control parameters.