Identification and chaotifying control of a class of system without mathematical model
Ding Liu · Control theory & applications · 2003
Fuzzy neural network (FNN) was proposed to identify the dynamics of a class of non-chaotic system without mathematical model. The result of identification was then used in inverse system method, by which chaotifying control of the system could be implemented. This method was independent of the exact mathematic model of the system to be controlled. It was testified that error of control caused by the identification error was less than the identification error by properly designed control parameters. Simulation results for continuous and discrete systems show the effectiveness of the method.