Vehicle Stability Control Based on CHNN

Author

Hanwen, Gao ; Guolin, Wang ; Chao, Fang ; Laisheng, Gao

Author_Institution

Automobile & Traffic Eng., Jiangsu Univ., Nanjing, China

Volume

2

fYear

2010

fDate

5-6 June 2010

Firstpage

272

Lastpage

275

Abstract

Vehicle electronic stability program (ESP) is uesde to improve the vehicle handling and stability performance in limited cases. And a continuous hopfield neural network (CHNN) is proposed for solving linear quadratic(LQ) optimization control problems. Moreover, the receding optimization strategy is adopted to the system to realize the dynamic optimization control for multivariable time-varying systems. Simulation results of the vehicle stability control system show the effectiveness of the proposed method.

Keywords

Hopfield neural nets; linear quadratic control; multivariable systems; optimisation; stability; time-varying systems; vehicle dynamics; continuous Hopfield neural network; electronic stability program; linear quadratic control; multivariable time-varying systems; receding optimization strategy; vehicle handling; vehicle stability control; Axles; Control systems; Electrostatic precipitators; Hopfield neural networks; Optimal control; Optimization methods; Stability; Time varying systems; Vehicle dynamics; Vehicle safety; continuous hopfield neural network; linear quadratic control; receding optimization; vehicle stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-4026-9

Type

conf

DOI

10.1109/CCIE.2010.186

Filename

5491952