DocumentCode
2815254
Title
The recursive algorithm for Riccati matrix and the equivalent action
Author
Guo, Shiwei ; Lin, Jianhui
Author_Institution
Dept. of Mech. Eng., Emei Campus of Southwest Jiaotong Univ., Emei, China
fYear
2011
fDate
15-17 July 2011
Firstpage
5402
Lastpage
5405
Abstract
Linear quadratic optimal control and Kalman filtering problem can be described by Hamiltonian dual equations uniformly. Based on the T-parameter solution of Hamiltonian dual equations, the recursive formulas for Riccati matrix and the equivalent action were deduced. The backward and forward recursive algorithms were presented for the nodal variables of multiple segments system, and the recursive algorithms can be applied in linear quadratic optimal control and Kalman filtering problem.
Keywords
Kalman filters; Riccati equations; linear quadratic control; matrix algebra; optimal control; recursive estimation; Hamiltonian dual equations; Kalman filtering problem; Riccati matrix; T-parameter solution; equivalent action; linear quadratic optimal control; multiple segments system; recursive algorithm; Control theory; Education; Equations; Kalman filters; Optimal control; Presses; Hamiltonian Dual Equation; Kalman Filtering; Linear quadratic optimal control; Recursive Algorithm; Riccati Matrix;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location
Hohhot
Print_ISBN
978-1-4244-9436-1
Type
conf
DOI
10.1109/MACE.2011.5988215
Filename
5988215
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