Adaptive backstepping control for particleboard glue dosing system

In this paper an Adaptive bacstepping controller is proposed for particleboard glue dosing system. The adaptive control is derived from continuously tuning parameters using the backstepping control law. The proposed control approach for particleboard glue dosing has the properties to quickly system response and to indicate better control process in the tracking change of shavings flow. These features are due to continuous online learning and adaptive capability of analog neural networks. Simulation results demonstrate that the proposed control approach is effective and has better control performance.

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