Identification of Wiener Models with Binary-Valued Output Observations

作     者：Zhao Yanlong ,Wang Leyi, Yin Gang, Zhang Jifeng Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100080 Department of Electrical and Computer Engineering,Wayne State University,Detroit,Michigan 48202,U. S. A. Department of Mathematics,Wayne State University,Detroit,Michigan 48202,U. S. A. 

会议名称：《第25届中国控制会议》

会议日期：2006年

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

关 键 词：Identification binary-valued observations Wiener model joint identifiability. 

摘      要：正This work focuses on system identification forWiener models,whose outputs are measured by binary sensors. It begins with the development of joint identifiability. Then, using periodic inputs, empirical distributions are used to construct identification algorithms. Convergence of the algorithms is established,and associated recursive algorithms are also developed.