所属单位：中科院自动化所
教研室：复杂系统与智能科学重点实验室
发表刊物：IEEE Transactions on Neural Networks
项目来源：中国国家自然科学基金，项目号60921061、61034002；北京自然科学基金，项目号：4102061
关键字：Controllability, data-based analysis, linear discrete-time systems, measured data, observability
摘要：We develop data-based methods for analyzing the controllability and observability of linear discretetime systems which have unknown system parameters. These data-based methods will only use measured data to construct the controllability matrix as well as the observability matrix, in order to verify the corresponding properties. The advantages of our methods are threefold. First, they can directly verify system properties based on measured data without knowing system parameters. Second, our calculation precision is higher than traditional approaches, which need to identify unknown parameters.
备注：SCI, WOS: 000299082900020; EI, Accession Number: 20115114620386.
合写作者：Derong Liu,王卓
论文类型：基础研究
文献类型：期刊
是否译文：否
发表时间：2011-11-18