Identification and chaotifying control of a class of system without mathematical model
Abstract：Fuzzy neural network (FNN) was proposed to identify the dynamics of a class of non-chaotic system withoutmathematical model. The result of identification was then used in inverse system method, by which chaotifying control of thesystem could be implemented. This method was independent of the exact mathematic model of the system to be controlled. Itwas testified that error of control caused by the identification error was less than the identification error by properly designed con-trol parameters. Simulation results for continuous and discrete systems show the effectiveness of the method.
Keywords：system identificationchaotifying controlfuzzy neural networksinverse system method
Publication Date：2003-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 737-740 )