Hybrid Type Chaos Control for Unknown System Using Fuzzy Neural Network

抄録

Recently, chaos can be found in each field of engineering. And chaos control is one of the chaos applied researches in control engineering. It is to stabilize the state of the system into the unstable periodic orbit (UPO ) embedded in the strange attractor. Conventional chaos controls like deleyed feedback control (DFC ), prediction-based feedback control (PFC), etc. are performed for known systems in many cases. On the other hand, although there is the technique for the unknown system using the output from the neural network as the prediction value of the state, there exists the problem about the error of the prediction value.

Then, the method for the unknown discrete time system described by the fuzzy model (afterward, PDFC, prediction-based delayed feedback control ) is proposed. This is the technique of determining the prediction value of the state and control input parameters analytically using the fuzzy model and performing the hybrid type control of the DFC method and the PFC method.