DocumentCode
2846771
Title
Identification based on idiotypic network for complex uncertainty system
Author
Xu, Xuesong ; Peng, Chunhua ; Ji, Di
Author_Institution
Sch. of Electr. & Electron. Eng., East China Jiao Tong Univ., Nanchang, China
fYear
2010
fDate
26-28 May 2010
Firstpage
2644
Lastpage
2647
Abstract
Modeling of complex uncertainty is still one of the difficult problems in complex system control. By referring the mechanism of creature immune system, which the antibodies can be quickly found for a new kind of antigens, a new identification algorithm for complex uncertainty system based on idiotypic network is presented. The training algorithm of idiotypic network model and online identification are introduced. Simulation results show its good performance.
Keywords
artificial immune systems; identification; large-scale systems; uncertain systems; antibodies; antigens; complex system control; complex uncertainty system; creature immune system; idiotypic network model; online identification; training algorithm; Control system synthesis; Immune system; System identification; Uncertainty; Complex Uncertainty System; Idiotypic Network; System Identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location
Xuzhou
Print_ISBN
978-1-4244-5181-4
Electronic_ISBN
978-1-4244-5182-1
Type
conf
DOI
10.1109/CCDC.2010.5498762
Filename
5498762
Link To Document