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个人信息Personal Information
副教授 硕士生导师
招生学科专业：
控制科学与工程 -- 【招收硕士研究生】 -- 自动化学院
电子信息 -- 【招收硕士研究生】 -- 自动化学院
性别：女
毕业院校：香港大学
学历：香港大学
学位：工学博士学位
所在单位：自动化学院
办公地点：自动化学院4号楼401
联系方式：xmchen@nuaa.edu.cn
电子邮箱：
ℓ1-induced state-bounding observer design for positive Takagi–Sugeno fuzzy systems
点击次数：
所属单位：自动化学院
发表刊物：Neurocomputing
摘要：In this paper, the design problem of the ℓ1-induced positive observer is studied for positive Takagi–Sugeno (T–S) fuzzy systems. First, a ℓ1-induced performance index is presented for positive systems and the performance indicator matches well to the linear Lyapunov functions. Then, we explore a novel description of the ℓ1-induced performance for positive T–S fuzzy systems. Moreover, the design problem of the ℓ1-induced positive observer is solved for positive fuzzy systems under a proposed linear programming method. To estimate the state of positive fuzzy systems, a couple of state-bounding positive observers are constructed. In the end, a numerical example is given to show the effectiveness of the proposed approach. © 2017
ISSN号：0925-2312
是否译文：否
发表时间：2017-01-01
合写作者：陈谋,沈俊,Shao, Shuyi
通讯作者：陈晓明