DocumentCode
345637
Title
Convergence of CMAC network learning control for a class of nonlinear dynamic system
Author
Liu, Hui ; Wang, Danwei
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
fYear
1999
fDate
1999
Firstpage
108
Lastpage
113
Abstract
Due to the high nonlinear property, the convergence of neural network based closed-loop system are very difficult to analyze. In the paper, we adopt cerebellar model articulation controller (CMAC) as an iterative learning controller, the convergence of the closed-loop system is analyzed based on the iterative learning control theory. Simulation results verify the analysis
Keywords
cerebellar model arithmetic computers; closed loop systems; convergence; dynamics; neurocontrollers; nonlinear dynamical systems; CMAC network; closed-loop system; convergence; iterative learning control; neurocontrol; nonlinear dynamic system; Analytical models; Control systems; Convergence; Error correction; Linear systems; Machine learning; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control/Intelligent Systems and Semiotics, 1999. Proceedings of the 1999 IEEE International Symposium on
Conference_Location
Cambridge, MA
ISSN
2158-9860
Print_ISBN
0-7803-5665-9
Type
conf
DOI
10.1109/ISIC.1999.796639
Filename
796639
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