Robust stop-and-go control strategy: an algebraic approach for non-linear estimation and control Online publication date:: Fri, 14-May-2010
by Jorge Villagra, Brigitte D'Andrea-Novel, Sungwoo Choi, Michel Fliess, Hugues Mounier
International Journal of Vehicle Autonomous Systems (IJVAS), Vol. 7, No. 3/4, 2009
Abstract: This paper describes a robust stop-and-go control strategy for vehicles. Since sensors used in a real automotive context are generally low cost, measurements are quite noisy. Furthermore, many vehicle/road interaction factors (road slope, rolling resistance, aerodynamic forces) are very poorly known. Hence, a robust strategy to noise and parameters is proposed within the same theoretical framework: algebraic non-linear estimation and control techniques. On the one hand, noisy signals will be processed to obtain accurate derivatives, and thereafter, variable estimates. On the other hand, a grey-box closed-loop control will be implemented to reject all kinds of disturbances caused by exogenous parameter uncertainties.
Online publication date:: Fri, 14-May-2010
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Autonomous Systems (IJVAS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com