Model Adaptive Control Based on a Compound Orthogonal Neural Network
نویسندگان
چکیده
Combining the adaptive inverted control method based on a compound orthogonal neural network with generic mode control scheme, an adaptive control algorithm based on a compound orthogonal neural network has been proposed, which can embed the process model into the controller by the inverted control method with neural networks. It can guarantee the realizability of the generic model control scheme based on neural networks. The reference trajectory is a pseudo-second-order curve. As the compound orthogonal neural network is easy to implement and very fast in convergence speed, it is suitable to apply in real control system. It is also very easy to tune for the controller. The simulation results show the effectiveness of the proposed control scheme.
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