Please use this identifier to cite or link to this item:
|Title:||Adaptive state feedback control for a class of stochastic nonlinear systems||Authors:||Fan, H.
|Issue Date:||2004||Citation:||Fan, H.,Ge, S.S. (2004). Adaptive state feedback control for a class of stochastic nonlinear systems. Proceedings of the IEEE Conference on Decision and Control 3 : 2996-3000. ScholarBank@NUS Repository.||Abstract:||In this paper, tracking problem is studied for a class of stochastic nonlinear systems, which is in strict-feedback form and with unknown parametric nonlinearities. Under the condition of all system states being available for feedback, by employing the stochastic Lyapunov-like theorem and the backstepping design technique, an adaptive state feedback control is developed. The output of the closed-loop system is proven to follow the desired trajectory asymptotically in probability.||Source Title:||Proceedings of the IEEE Conference on Decision and Control||URI:||http://scholarbank.nus.edu.sg/handle/10635/69229||ISSN:||01912216|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 14, 2021
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.