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
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;
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
DOI :
10.1109/ACC.2015.7171833