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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.2100586


Adaptive neural network-based boundary control of a flexible marine riser system with output constraints


Author(s):  Chuyang YU, Xuyang LOU, Yifei MA, Qian YE, Jinqi ZHANG

Affiliation(s):  Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, China; more

Corresponding email(s):   Louxy@jiangnan.edu.cn

Key Words:  Marine riser system, Partial differential equation, Neural network, Output constraint, Boundary control, Unknown disturbance


Chuyang YU, Xuyang LOU, Yifei MA, Qian YE, Jinqi ZHANG. Adaptive neural network-based boundary control of a flexible marine riser system with output constraints[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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publisher="Zhejiang University Press & Springer",
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Abstract: 
In this paper, we develop an adaptive neural network-based boundary control method for a flexible marine riser system with unknown nonlinear disturbances and output constraints to suppress vibrations. We begin by describing the dynamic behavior of the riser system using a distributed parameter system with partial differential equations. To compensate for the effect of nonlinear disturbances, we construct a neural network-based boundary controller using a radial basis neural network (RBFNN) to reduce vibrations. Under the proposed boundary controller, the state of the riser is guaranteed to be uniformly bounded based on the Lyapunov method. The proposed methodology provides a way to integrate neural networks into boundary control for other flexible robotic manipulator systems. Finally, numerical simulations are given to demonstrate the effectiveness of the proposed control method.

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