{"title":"基于干扰衰减策略的离散线性奇摄动系统比例积分观测器","authors":"Ltifi Marwa, Bahri Nesrine, Ltaief Majda","doi":"10.1504/ijmic.2023.133440","DOIUrl":null,"url":null,"abstract":"This paper deals with the observability bound problem of a discrete-time linear singularly perturbed system (DTLSPS) subject to L2 disturbance and L2 noise. A proper PI observer, known by its robustness, is devised for state estimation, ensuring that the observation error is asymptotically stable and satisfies the H∞ performance constraint for a proper bound of the singular perturbation parameter based on a quadratic Lyapunov function and the H∞ norm. In order to design this observer, sufficient conditions expressed in terms of linear matrix inequalities (LMIs) are developed to ensure the robust stability bound of the considered system. This task is also achieved using a quadratic Lyapunov function and the H∞ norm. Then, using the outcomes of these two tasks, the observability bound of the system is determined. Two simulation examples are then given to validate the proposed strategy.","PeriodicalId":46456,"journal":{"name":"International Journal of Modelling Identification and Control","volume":"19 1","pages":"0"},"PeriodicalIF":0.6000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Proportional integral observer using disturbance attenuation strategy for discrete-time linear singularly perturbed system\",\"authors\":\"Ltifi Marwa, Bahri Nesrine, Ltaief Majda\",\"doi\":\"10.1504/ijmic.2023.133440\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the observability bound problem of a discrete-time linear singularly perturbed system (DTLSPS) subject to L2 disturbance and L2 noise. A proper PI observer, known by its robustness, is devised for state estimation, ensuring that the observation error is asymptotically stable and satisfies the H∞ performance constraint for a proper bound of the singular perturbation parameter based on a quadratic Lyapunov function and the H∞ norm. In order to design this observer, sufficient conditions expressed in terms of linear matrix inequalities (LMIs) are developed to ensure the robust stability bound of the considered system. This task is also achieved using a quadratic Lyapunov function and the H∞ norm. Then, using the outcomes of these two tasks, the observability bound of the system is determined. Two simulation examples are then given to validate the proposed strategy.\",\"PeriodicalId\":46456,\"journal\":{\"name\":\"International Journal of Modelling Identification and Control\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Modelling Identification and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijmic.2023.133440\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Modelling Identification and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijmic.2023.133440","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Proportional integral observer using disturbance attenuation strategy for discrete-time linear singularly perturbed system
This paper deals with the observability bound problem of a discrete-time linear singularly perturbed system (DTLSPS) subject to L2 disturbance and L2 noise. A proper PI observer, known by its robustness, is devised for state estimation, ensuring that the observation error is asymptotically stable and satisfies the H∞ performance constraint for a proper bound of the singular perturbation parameter based on a quadratic Lyapunov function and the H∞ norm. In order to design this observer, sufficient conditions expressed in terms of linear matrix inequalities (LMIs) are developed to ensure the robust stability bound of the considered system. This task is also achieved using a quadratic Lyapunov function and the H∞ norm. Then, using the outcomes of these two tasks, the observability bound of the system is determined. Two simulation examples are then given to validate the proposed strategy.
期刊介绍:
Most of the research and experiments in the fields of science, engineering, and social studies have spent significant efforts to find rules from various complicated phenomena by observations, recorded data, logic derivations, and so on. The rules are normally summarised as concise and quantitative expressions or “models". “Identification" provides mechanisms to establish the models and “control" provides mechanisms to improve the system (represented by its model) performance. IJMIC is set up to reflect the relevant generic studies in this area.