Neural Network Vibration Control of a Flexible Riser With Output Constraint

This article handle the issues of the vibration of a flexible riser system with output constraint and system uncertainty. Combining the Lyapunov’s theory, a boundary neural network (NN) control is constructed with backstepping method. The system uncertainty is handled by using neural networks. With the developed control law, the system stability is ensured, and the output constraint is addressed. After the theoretical and simulation verification of the proposed method, it can gain the effectiveness of control law with no difficulty.