DocumentCode :
2745232
Title :
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
Link To Document :
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