Title :
Research on a kind of RBF state observer algorithm for control and synchronization of chaos system
Author :
Yong Lu ; Haining Huang
Author_Institution :
14th Res. Lab., Chinese Acad. Sci., Beijing, China
Abstract :
The research on the problem of control and synchronization of the chaotic system would be carried out in the paper. Using the property of state estimated of state observe and self-learning ability of RBF, The adaptive and reliable controller combined RBF network with state observer was presented. At the same time, the condition of state error convergence as well as that of control and synchronization would be analyzed. And then the simulation was carried out. The results illustrated that is effective and valid.
Keywords :
adaptive control; neurocontrollers; nonlinear control systems; observers; radial basis function networks; synchronisation; RBF state observer algorithm; adaptive controller; chaos system control; chaos system synchronization; radial basis function network; state error convergence condition; Algorithm design and analysis; Chaos; Equations; Mathematical model; Observers; Radial basis function networks; Synchronization; RBF network; chaotic system; control; state observer; synchronization;
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9950-2
DOI :
10.1109/ICNC.2011.6022229
