Title :
Optimal controller for stochastic linear systems with Poisson noises and unknown parameters
Author :
Basin, Michael ; Maldonado, Michael Basin Juan J
Author_Institution :
Dept. of Phys. & Math. Sci., Autonomous Univ. of Nuevo Leon, San Nicolas de los Garza, Mexico
Abstract :
This paper presents the optimal Linear- Quadratic-Poisson (LQP) controller for stochastic linear systems with Poisson noises and unknown parameters. The optimal controller equations are obtained using the separation principle, whose applicability to the considered problem is substantiated. Performance of the obtained optimal LQP controller is verified in the illustrative example against the LQP controller that is optimal for linear systems with known parameters. Simulation graphs demonstrating overall performance and computational accuracy of the designed LQP controller for stochastic linear systems with Poisson noises and unknown parameters are included.
Keywords :
Poisson distribution; graph theory; linear quadratic control; linear systems; stochastic systems; LQP controller; Poisson noise; optimal controller equations; optimal linear-quadratic-Poisson controller; separation principle; simulation graphs; stochastic linear systems; unknown parameters; Cost function; Equations; Linear systems; Mathematical model; Noise; Optimal control; Vectors;
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-61284-969-0
DOI :
10.1109/IECON.2011.6119887