DocumentCode
728381
Title
A gradient-based approach for optimal plant controller co-design
Author
Yuh-Shyang Wang ; Yebin Wang
Author_Institution
Dept. of Control & Dynamical Syst., California Inst. of Technol., Pasadena, CA, USA
fYear
2015
fDate
1-3 July 2015
Firstpage
3249
Lastpage
3254
Abstract
This paper proposes a gradient-based iterative algorithm for optimal co-design of a linear physical plant and a controller. The proposed algorithm does not rely on the common linear parameterization assumption, and thus is applicable to a broader class of problems. The convergence of the algorithm and the verification procedure for a local minimum are given. Numerical examples show that our algorithm is comparable to other complicated algorithms in terms of the performance, but can deal with a more general class of problems.
Keywords
control system synthesis; gradient methods; linear systems; optimal control; gradient-based approach; gradient-based iterative algorithm; linear parameterization assumption; optimal linear physical plant codesign; optimal plant controller codesign; verification procedure; Aerospace electronics; Algorithm design and analysis; Convergence; Mathematical model; Optimal control; Output feedback; Radio frequency;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2015
Conference_Location
Chicago, IL
Print_ISBN
978-1-4799-8685-9
Type
conf
DOI
10.1109/ACC.2015.7171833
Filename
7171833
Link To Document