Title :
Optimal Controller for Uncertain Stochastic Linear Systems With Poisson Noises
Author :
Basin, Michael ; Maldonado, 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; the designed LQP controller is also compared with the conventional linear-quadratic-Gaussian (LQG) controller available for stochastic linear systems with Gaussian noises and unknown 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 :
control system synthesis; graph theory; linear quadratic control; linear systems; optimal control; stochastic processes; stochastic systems; Poisson noises; computational accuracy; optimal LQP controller design; optimal controller equations; optimal linear-quadratic-Poisson controller; separation principle; simulation graph; uncertain stochastic linear systems; unknown parameters; Cost function; Equations; Linear systems; Mathematical model; Noise; Stochastic processes; Vectors; Control; Poisson noise; filtering; stochastic linear system;
Journal_Title :
Industrial Informatics, IEEE Transactions on
DOI :
10.1109/TII.2013.2248160