A novel finite-time optimal output regulator for discrete-time linear systems via an information fusion estimation method. Issue 1 (1st January 2019)

• Record Type: Journal Article
• Authors: Yang, Huihui
• Is Part Of: Systems science & control engineering. Volume 7:Issue 1(2019)
• Page Start: 321
• Page End: 326
• Publication Date: 2019-01-01
• Subjects: Information fusion estimation -- optimal output regulation -- finite time; System theory -- Periodicals; Automatic control -- Periodicals; 003.05
• DOI: 10.1080/21642583.2019.1663293
• Languages: English
• ISSNs: 2164-2583

Abstract

Abstract : The finite-time optimal output regulation problem is investigated in this paper. In order to simplify the design process of linear quadratic finite-time optimal output regulation control, a new information fusion estimation-based optimal output regulation control scheme is proposed. The information fusion estimation-based optimal output regulator converts all information into measurement equations for control input and co-state, and then obtains the optimal estimation of control input by the information fusion estimation scheme. Finally, the proposed control scheme is employed for position and velocity regulator design of a brushless linear DC motor system, and the simulation experiment illustrates the effectiveness of the proposed control strategy.