Please use this identifier to cite or link to this item:
|Title:||Adaptive Neural Network Control of Nonlinear Systems with Unknown Time Delays|
|Authors:||Ge, S.S. |
Nonlinear time-delay systems
|Citation:||Ge, S.S., Hong, F., Lee, T.H. (2003-11). Adaptive Neural Network Control of Nonlinear Systems with Unknown Time Delays. IEEE Transactions on Automatic Control 48 (11) : 2004-2010. ScholarBank@NUS Repository. https://doi.org/10.1109/TAC.2003.819287|
|Abstract:||In this note, adaptive neural control is presented for a class of strict-feedback nonlinear systems with unknown time delays. Using appropriate Lyapunov-Krasovskii functionals, the uncertainties of unknown time delays are compensated for such that iterative backstepping design can be carried out. In addition, controller singularity problems are solved by using the integral Lyapunov function and employing practical robust neural network control. The feasibility of neural network approximation of unknown system functions is guaranteed over practical compact sets. It is proved that the proposed systematic backstepping design method is able to guarantee semiglobally uniformly ultimate boundedness of all the signals in the closed-loop system and the tracking error is proven to converge to a small neighborhood of the origin.|
|Source Title:||IEEE Transactions on Automatic Control|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jun 18, 2018
WEB OF SCIENCETM
checked on Jun 5, 2018
checked on May 5, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.