Neural Network-Based Adaptive Boundary Control of a Flexible Riser With Input Deadzone and Output Constraint

• Published in: IEEE transactions on cybernetics Vol. 52; no. 12; pp. 13120 - 13128
• Main Authors: Liu, Yu, Wang, Yinna, Feng, Yanghe, Wu, Yilin
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.12.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive boundary control; Adaptive control; Adaptive systems; Backstepping; backstepping technique; Boundary control; Control design; Control systems design; Control theory; flexible riser; Flexible structures; input deadzone and output constraint; Liapunov functions; neural network; Neural networks; Systems stability; Uncertainty; Vibration control

In this article, vibration abatement problems of a riser system with system uncertainty, input deadzone, and output constraint are considered. For obtaining better control precision, a boundary control law is constructed by employing the backstepping method and Lyapunov's theory. The output con...