A novel finite-time optimal output regulator for discrete-time linear systems via an information fusion estimation method
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...
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Published in | Systems science & control engineering Vol. 7; no. 1; pp. 321 - 326 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Taylor & Francis
01.01.2019
Taylor & Francis Group |
Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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ISSN: | 2164-2583 2164-2583 |
DOI: | 10.1080/21642583.2019.1663293 |