DocumentCode
3161269
Title
Internal Model Principle for Measurement Feedback Problem
Author
Chen, Zhiyong
Author_Institution
Univ. of Newcastle, Newcastle
fYear
2007
fDate
9-13 July 2007
Firstpage
2606
Lastpage
2611
Abstract
While the disturbances in actuators are well handled by the output regulation theory (especially, called input disturbance suppression problem), there are rare results to deal with those in sensors. When disturbances enter sensors, the plant states cannot be precisely measured, and the state feedback control laws are not implementable. Instead, the measurement feedback control laws become interesting. This paper gives a new mechanism using the internal model principle for designing measurement feedback control laws to solve the robust regulation problem. The proposed controllers have the robustness with respect to sensor disturbances. The mechanism derives from the output regulation theory, and puts this theory to a new stage.
Keywords
control nonlinearities; control system synthesis; feedback; robust control; actuators; input disturbance suppression; internal model principle; measurement feedback problem; output regulation theory; robust regulation; Actuators; Control systems; Drives; Feedback control; Nonlinear control systems; Nonlinear systems; Output feedback; Robust control; Sensor systems; State feedback;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2007. ACC '07
Conference_Location
New York, NY
ISSN
0743-1619
Print_ISBN
1-4244-0988-8
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2007.4282313
Filename
4282313
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