Predictive Control of Vehicle Based on Echo State Network

Author

Ni, Shaobo ; Liu, Lei ; Wang, Zhishen ; Wang, Zirui

Author_Institution

Sch. of Aerosp. Eng., Beijing Inst. of Technol., Beijing, China

fYear

2011

fDate

20-21 Aug. 2011

Firstpage

37

Lastpage

40

Abstract

An Echo State Network (ESN) based predictive control method for aircraft system is proposed to increase the flight quality. Aero craft is a nonlinear and time-varying system and its controllers are usually designed by trajectory linearization method. Furthermore, the predictive controller is designed to adjust the current controlled variables by the trend of output to improve the quick responsiveness and traceability. Then, the stability of the system is proved by Lyapunov function. Finally, the numerical simulation results of step-response and attitude tracking illustrate the robustness and effect of the method.

Keywords

Lyapunov methods; aircraft control; attitude control; control system synthesis; nonlinear control systems; position control; predictive control; stability; time-varying systems; Lyapunov function; aircraft system; attitude tracking; echo state network; flight quality; nonlinear system; predictive controller design; system stability; time varying system; trajectory linearization method; vehicle predictive control; Aerospace control; Aircraft; Mathematical model; Neurons; Predictive control; Sparse matrices; Training; Attitude Control; Flight Control System; Lyapunov Method; Predictive Control System; Recurrent Neural Networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligence Science and Information Engineering (ISIE), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4577-0960-9

Electronic_ISBN

978-0-7695-4480-9

Type

conf

DOI

10.1109/ISIE.2011.141

Filename

5997371