Asma Barbata, M. Zasadzinski, H. S. Ali, H. Messaoud
{"title":"一类奇异随机非线性系统的观测器设计","authors":"Asma Barbata, M. Zasadzinski, H. S. Ali, H. Messaoud","doi":"10.1109/ECC.2014.6862596","DOIUrl":null,"url":null,"abstract":"In this paper, we deal with observer design for a class of nonlinear stochastic singular systems with multiplicative noises. The dynamics of the considered systems is described by a stochastic differential algebraic equation (SDAE) driven by a brownian motion. The nonlinearities of the dynamics are assumed to be one-sided Lipschitz. Based on the adaptation of Itô calculus for SDAE, we derived the conditions to obtain the almost surely exponential stability of the equilibrium point of the observation error. It is shown that the almost sure exponential convergence of the observation error could be treated by decoupling the state from this error. This is done by using a new theorem dedicated to triangular stochastic systems.","PeriodicalId":251538,"journal":{"name":"2014 European Control Conference (ECC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Observer design for a class of singular stochastic nonlinear systems\",\"authors\":\"Asma Barbata, M. Zasadzinski, H. S. Ali, H. Messaoud\",\"doi\":\"10.1109/ECC.2014.6862596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we deal with observer design for a class of nonlinear stochastic singular systems with multiplicative noises. The dynamics of the considered systems is described by a stochastic differential algebraic equation (SDAE) driven by a brownian motion. The nonlinearities of the dynamics are assumed to be one-sided Lipschitz. Based on the adaptation of Itô calculus for SDAE, we derived the conditions to obtain the almost surely exponential stability of the equilibrium point of the observation error. It is shown that the almost sure exponential convergence of the observation error could be treated by decoupling the state from this error. This is done by using a new theorem dedicated to triangular stochastic systems.\",\"PeriodicalId\":251538,\"journal\":{\"name\":\"2014 European Control Conference (ECC)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 European Control Conference (ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECC.2014.6862596\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECC.2014.6862596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Observer design for a class of singular stochastic nonlinear systems
In this paper, we deal with observer design for a class of nonlinear stochastic singular systems with multiplicative noises. The dynamics of the considered systems is described by a stochastic differential algebraic equation (SDAE) driven by a brownian motion. The nonlinearities of the dynamics are assumed to be one-sided Lipschitz. Based on the adaptation of Itô calculus for SDAE, we derived the conditions to obtain the almost surely exponential stability of the equilibrium point of the observation error. It is shown that the almost sure exponential convergence of the observation error could be treated by decoupling the state from this error. This is done by using a new theorem dedicated to triangular stochastic systems.