Identifying parameter by identical synchronization between different systems.
In this paper, parameters of a given (chaotic) dynamical system are estimated from time series by using identical synchronization between two different systems. This technique is based on the invariance principle of differential equations, i.e., a dynamical Lyapunov function involving synchronization error and the estimation error of parameters. The control used in this synchronization consists of feedback and adaptive control loop associated with the update law of estimation parameters. Our estimation process indicates that one may identify dynamically all unknown parameters of a given (chaotic) system as long as time series of the system are available. Lorenz and Rossler systems are used to illustrate the validity of this technique. The corresponding numerical results and analysis on the effect of noise are also given.
Huang
Debin
D
Department of Mathematics, Shanghai University, Shanghai 200436, People's Republic of China. dbhuang@mail.shu.edu.cn
Guo
Rongwei
R
D000465:Algorithms; D003198:Computer Simulation; D005246:Feedback; D017711:Nonlinear Dynamics; D012815:Signal Processing, Computer-Assisted