scholarly journals Analysis of an Iteration Method for the Algebraic Riccati Equation

2016 ◽  
Vol 37 (2) ◽  
pp. 624-648 ◽  
Author(s):  
Arash Massoudi ◽  
Mark R. Opmeer ◽  
Timo Reis
2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Zhikun Luo ◽  
Huafei Sun ◽  
Xiaomin Duan

We use a second-order learning algorithm for numerically solving a class of the algebraic Riccati equations. Specifically, the extended Hamiltonian algorithm based on manifold of positive definite symmetric matrices is provided. Furthermore, this algorithm is compared with the Euclidean gradient algorithm, the Riemannian gradient algorithm, and the new subspace iteration method. Simulation examples show that the convergence speed of the extended Hamiltonian algorithm is the fastest one among these algorithms.


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