Rutherford, SJ and Cole, DJ (2010) Modelling nonlinear vehicle dynamics with neural networks. International Journal of Vehicle Design, 53. pp. 260-287. ISSN 0143-3369Full text not available from this repository.
The nonlinear modelling ability of neural networks has been widely recognised as an effective tool to identify and control dynamic systems, with applications including nonlinear vehicle dynamics which this paper focuses on using multi-layer perceptron networks. Existing neural network literature does not detail some of the factors which effect neural network nonlinear modelling ability. This paper investigates into and concludes on required network size, structure and initial weights, considering results for networks of converged weights. The paper also presents an online training method and an error measure representing the network's parallel modelling ability over a range of operating conditions. Copyright © 2010 Inderscience Enterprises Ltd.
|Uncontrolled Keywords:||Modelling nonlinear dynamics Neural network weight convergence Neural networks Nonlinear vehicle control Nonlinear vehicle identification Nonlinear vehicle model Off-line neural network training Online neural network training|
|Divisions:||Div C > Applied Mechanics|
|Depositing User:||Cron Job|
|Date Deposited:||07 Mar 2014 12:12|
|Last Modified:||08 Dec 2014 22:45|