Title :
Robust H∞ tracking control of output probability density function
Author :
Xiaoli, Luan ; Fei, Liu
Author_Institution :
Southern Yangtze Univ., Wuxi
Abstract :
A new kind of robust tracking controller of output probability density function (PDF) which satisfies H∞ disturbance attenuation level is proposed for a class of dynamic stochastic systems. Based on the B-spline neural network model to represent the output PDF, a dynamic weighting model is established, where uncertainties and time-delays are included. Considering the exterior disturbance, we design a robust H∞ tracking controller via error feedback. The desired controller can not only satisfy the H∞ disturbance attenuation level, but also realize the perfect tracking and make the closed-loop dynamic stochastic system asymptotically stable and the closed-loop value of linear quadratic cost function satisfy a specified upper bound. The simulation results show that the presented method is valid.
Keywords :
H∞ control; asymptotic stability; closed loop systems; delays; neurocontrollers; position control; stochastic systems; B-spline neural network model; H∞ disturbance attenuation level; asymptotic stability; closed-loop dynamic stochastic system; dynamic weighting model; error feedback; linear quadratic cost function; output probability density function; robust H∞ tracking control; time delays; Attenuation; Control systems; Error correction; Neural networks; Probability density function; Robust control; Robustness; Spline; Stochastic systems; Uncertainty; B-Spline newral network; H∞ Control; Probability density function; Tracking control; Vncertainty;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347133
