The stabilization control of nonlinear complex systems using adaptive fuzzy-neuro controller

A stabilization control method using an adaptive fuzzy neurocontroller is proposed for the modeling of nonlinear complex systems. The proposed adaptive fuzzy neurocontroller implements the system structure and parameter identification, using intelligent schemes together with optimization theory, linguistic fuzzy implication rules and neural networks, from the input and output data of processes. The results show that the proposed method can produce an intelligent model with higher accuracy than other works have achieved previously