Title :
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
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;
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
DOI :
10.1109/ISIE.2011.141
