An extension of neural network direct controller

Many studies have been undertaken in order to apply both the flexibility and learning ability of neural networks to dynamic system controllers. The paper proposes several kinds of neural network direct controllers as extensions to that previously proposed. They are an open loop type controller, in which the plant output information is not needed to realize the dynamics and the neural network direct controller has a feedback loop (a feedforward/feedback type). Theoretical studies guarantee the stability of the proposed controllers. Simulation and experimental results confirm both the realization and the characteristics of the controllers