Title :
A modified Newton´s method for rational Riccati equations arising in stochastic control
Author :
Chu, E.K. ; Tiexiang Li ; Wen-Wei Lin ; Chang-Yi Weng
Author_Institution :
Sch. of Math. Sci., Monash Univ., Clayton, VIC, Australia
Abstract :
We consider the solution of the rational matrix equations, or generalized algebraic Riccati equations with rational terms, arising in stochastic optimal control in continuous- and discrete-time. Fixed-point iteration and (modified) Newton´s methods will be considered. In particular, the convergence results of a new modified Newton´s method, for both continuous- and discrete-time rational Riccati equations, will be presented.
Keywords :
Newton method; Riccati equations; continuous time systems; discrete time systems; optimal control; stochastic systems; Newton method; continuous-time rational Riccati equation; discrete-time rational Riccati equation; fixed-point iteration; generalized algebraic Riccati equation; rational matrix equation; stochastic optimal control; Convergence; Educational institutions; Newton method; Optimal control; Riccati equations; Xenon;
Conference_Titel :
Communications, Computing and Control Applications (CCCA), 2011 International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4244-9795-9
DOI :
10.1109/CCCA.2011.6031219