Simultaneous Estimation of the State, Unknown Input, and Output Disturbance in Discrete-Time Linear Systems

• 成果类型: Article
• 署名作者: Alenezi, Badriah; Zhang, Mukai; Hui, Stefen; Zak, Stanislaw H.
• 署名单位: Kuwait University; Purdue University System; Purdue University; California State University System; San Diego State University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2021.3061993
• 发表日期: 2021
• 页码: 6115-6122
• 关键词: Discrete-time (DT) linear systems; output disturbance estimators; unknown input observers

摘要

A state observer and unknown input and output disturbance estimators are proposed for discrete-time linear systems corrupted by bounded unknown inputs and output disturbances. Necessary and sufficient conditions for the existence of the state observer and disturbance estimators are given. Relationships with the strong observer of Hautus are investigated. The state, unknown input, and output disturbance estimation errors are guaranteed to be l(infinity)-stable with prescribed performance level. The design of the state observer and disturbance estimators are given in terms of linear matrix inequalities. The proposed estimators can be applied to detect adversarial attacks on the communication channels between the controller and actuators and between the plant sensors and the controller.