DocumentCode :
2086129
Title :
Control system simplification by matrix modeling
Author :
Chen Huaichen ; Qu Shengli ; He Yajing
Author_Institution :
Xidian Univ., Xi´an, China
fYear :
2010
fDate :
29-31 July 2010
Firstpage :
107
Lastpage :
110
Abstract :
Traditionally the reduction of structure diagrams of complex control systems was realized by partitioning it into three basic types: serial, parallel and feedback connections. This method is always difficult and fallible in practice. Very often one have to move the positions of nodes and thus change the meaning of state variables. In this paper, a general matrix model for linear systems is deduced. According to this method, the computing model directly comes from the original structure diagram. With the aid of computing software, this problem can be solved very quickly and precisely.
Keywords :
control system analysis computing; large-scale systems; linear systems; matrix algebra; complex control system; computing software; control system simplification; linear system; matrix modeling; structure diagram; Computational modeling; Computer languages; Control systems; Linear systems; MATLAB; Mathematical model; Poles and zeros; Digital filters; Linear systems; MATLAB; Mason´s formula; Matrices modeling; Network structure diagram; Signal flow graph; Signal processing; System function; Transfer function; Zero-pole-gain model; state-space model; system Structure diagram;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
Type :
conf
Filename :
5572612
Link To Document :
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