Adaptive Neural Network Control of Uncertain Nonlinear Plants with Input Saturation
In this paper, an adaptive controller is developed for uncertain nonlinear systems in the presence of input saturation. The control design is achieved by using backstepping technique with neural network approximation. Unlike some existing control schemes for systems with input saturation, the developed controller does not require uncertain parameters within a known compact set. Besides showing stability, transient performance is also established and can be adjusted by tuning certain design parameters. Simulation results obtained on a drilling system are presented to demonstrate the effectiveness of the proposed control scheme.
Adaptive control backstepping saturation neural networks
Jing Zhou
Petroleum Department, International Research Institute of Stavanger, N-5008 Bergen, Norway Department of Engineering Cybernetics, Norwegian University of Science and Technology, N-7491 Trondheim, Norway
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
23-28
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）