DocumentCode :
1705934
Title :
A kind of output SDC systems tracking controller design and its control-loop performance assessment
Author :
Wang Xi ; Zhou Jinglin ; Zhu Haijiang
Author_Institution :
Coll. of Inf. Sci. & Technol., Beijing Univ. of Chem. Technol., Beijing, China
fYear :
2013
Firstpage :
1631
Lastpage :
1636
Abstract :
In This paper, in order to assess the accuracy of the PDF (Probability Density Function) tracking control of the stochastic distribution control system, the author proposes a performance assessment technique for the issue shows that how well the tracking controller work for the purpose that the controlled PDF tracking a desired one. And a normalized index lies between 0 and 1, which can be calculated directly from the output PDF and the target PDF, to show the behavior of the tracking controller. The newly developed rational square-root B-spline model was introduced for the output PDF approximation and the dynamic characteristics of the close-loop process is represented by the error dynamic equation of the weight vector of basis function and the output PDF feedback control. The proposed tracking controller designed in this note based on solving LMI (Linear Matrix Inequality) that guarantee the bounded stability of the error dynamic system. At the end of this paper, a simulation example is incorporated to show the feasibility and effectiveness of the tracking controller and the proposal performance index.
Keywords :
approximation theory; closed loop systems; control system synthesis; feedback; linear matrix inequalities; probability; splines (mathematics); stability; stochastic systems; LMI; PDF feedback control; PDF tracking control; basis function; bounded stability; close-loop process; control-loop performance assessment; dynamic characteristics; error dynamic equation; linear matrix inequality; output PDF approximation; output SDC systems tracking controller design; probability density function; rational square-root B-spline model; stochastic distribution control system; weight vector; Approximation methods; Control systems; Linear matrix inequalities; Mathematical model; Probability density function; Splines (mathematics); Vectors; Linear Matrix Inequality (LMI); Non-Gaussian stochastic system; Performance Assessment; Probability Density Function (PDF); Stochastic Distribution Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
Type :
conf
Filename :
6639688
Link To Document :
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