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
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;
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
DOI :
10.1109/CCDC.2010.5498762
