KDE based output PDF control for nonlinear non-Gaussian systems using PSO algorithm

Author

Yin Liping ; Zhang Hongyan ; Zhou Li ; Wang Hong

Author_Institution

Sch. of Inf. & Control, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China

fYear

2014

fDate

28-30 July 2014

Firstpage

5351

Lastpage

5356

Abstract

This paper considers a simplified PDF control strategy for non-linear non-Gaussian stochastic distribution systems. The objective of this approach is still to make the output probability density function track a desired PDF. The output PDF, which is assumed to be immeasurable, is estimated according to kernel density estimation by analyzing the output sequence of the system. The performance index is constructed with respect to the control objective and is minimized based on particle swarm optimization. A PDF tracking controller is then designed and a simulation is finally given to demonstrate the effectiveness and efficiency of the proposed algorithm.

Keywords

control system synthesis; nonlinear control systems; particle swarm optimisation; performance index; statistical distributions; stochastic systems; KDE; PDF tracking controller design; PSO algorithm; kernel density estimation; nonlinear nonGaussian stochastic distribution systems; output PDF control; output probability density function; particle swarm optimization; performance index minimisation; Algorithm design and analysis; Kernel; Performance analysis; Probability density function; Process control; Stochastic processes; Stochastic systems; Kernel density estimation(KDE); Non-Gaussian system; Non-linear systems; Particle swarm optimization(PSO); Probability density function(PDF); Stochastic distribution control; Tracking control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2014 33rd Chinese

Conference_Location

Nanjing

Type

conf

DOI

10.1109/ChiCC.2014.6895852

Filename

6895852