EXPLORING DYNAMIC NONLINEAR INFORMATION SYSTEM WITH SATURATION CONSTRAINT AND UNKNOWN INFORMATION

Sixing Huang, Pengcheng Wei, Majed Ahmad Suhaim () and Xianghua Zhang
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Sixing Huang: School of Mathematics and Information Engineering, Chongqing University of Education, Chongqing, P. R. China
Pengcheng Wei: School of Mathematics and Information Engineering, Chongqing University of Education, Chongqing, P. R. China
Majed Ahmad Suhaim: ��Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
Xianghua Zhang: School of Mathematics and Information Engineering, Chongqing University of Education, Chongqing, P. R. China

FRACTALS (fractals), 2022, vol. 30, issue 02, 1-11

Abstract: The dynamic nonlinear system with saturation constraints and unknown information is studied to design a better control system. The controller of the general n-order affine nonlinear system is constructed utilizing the backstepping method and the improved radial basis function (RBF) that can approximate the unknown parameters. Then, the appropriate Lyapunov function is selected. The mature stability judgment theorem can prove that the designed system is semi-globally uniform and ultimately bounded. Finally, the controller is added to the system for the experiment on MATLAB. The experimental results show that the controller is reliable and the system output can approach the ideal value through the limited range of control signal. During the simulation, the reference value can be quickly tracked by the system output, and the tracking error is small only within 0.04. The proposed method can provide a reference for the design of control systems in practical engineering.

Keywords: Nonlinear System; Input Saturation; Constrained Control; Neural Network (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0218348X22400953

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