In this paper, a robust NN control scheme based on backstepping technique is proposed for the ship course discrete-time nonlinear systems with input saturation. Firstly, the original system is transformed into a novel ship course discrete-time nonlinear system which the state variable could be predicted. Then an adaptive NN controller design of the discrete-time nonlinear system is presented via backstepping. The HONNs are employed to approximate the un- known functions in the control design process. At the same time, an input saturation aided design system is introduced in the ship course controller in presence of input saturation constraint. Compared with previous research for dis- crete-time systems, the proposed algorithem improves the robustness of the systems. Based on Lyapunov Theory, the closed-loop systems are proven to be semi-globally uniformly ultimately bounded, and the tracking error converges to a small neighborhood of the origin. Finally, a simulation of vessel "yukun" is employed to illustrate the effectiveness of the proposed algorithem.
[1]
Guo-Xing Wen,et al.
Direct adaptive robust NN control for a class of discrete-time nonlinear strict-feedback SISO systems
,
2011,
Neural Computing and Applications.
[2]
Roman Smierzchalski,et al.
A Backstepping Approach to Ship Course Control
,
2007,
Int. J. Appl. Math. Comput. Sci..
[3]
Chen Guo,et al.
Nonlinear adaptive design for course-tracking control of ship without a priori knowledge of control gain
,
2005
.
[4]
Shuzhi Sam Ge,et al.
Adaptive NN control for a class of strict-feedback discrete-time nonlinear systems
,
2003,
Autom..