Research of networked control systems based on neuro-fuzzy control

In this paper, a neuro-fuzzy control-based approach is used for networked control systems to overcome the negative effects of the network-induced delays. This approach can timely modify the weights of the adaptive controller to improve control performance. Finally, by modeling networked control system with Matlab truetime toolbox, and the simulation results show that networked control systems based on the neuro-fuzzy control strategy have a much stronger robustness and a more desirable dynamic performance by comparing with that only using Neuro or Fuzzy control strategy when network delays are more than one sampling periods.