Please use this identifier to cite or link to this item:
|Title:||Adaptive Neural Control of Nonlinear Time-Delay Systems with Unknown Virtual Control Coefficients|
|Authors:||Ge, S.S. |
Nonlinear time-delay systems
|Citation:||Ge, S.S., Hong, F., Lee, T.H. (2004-02). Adaptive Neural Control of Nonlinear Time-Delay Systems with Unknown Virtual Control Coefficients. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 34 (1) : 499-516. ScholarBank@NUS Repository. https://doi.org/10.1109/TSMCB.2003.817055|
|Abstract:||In this paper, adaptive neural control is presented for a class of strict-feedback nonlinear systems with unknown time delays. The proposed design method does not require a priori knowledge of the signs of the unknown virtual control coefficients. The unknown time delays are compensated for using appropriate Lyapunov-Krasovskii functionals in the design. It is proved that the proposed backstepping design method is able to guarantee semi-global uniformly ultimately boundedness of all the signals in the closed-loop. In addition, the output of the system is proven to converge to a small neighborhood of the origin. Simulation results are provided to show the effectiveness of the proposed approach.|
|Source Title:||IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jun 19, 2018
WEB OF SCIENCETM
checked on Jun 12, 2018
checked on May 5, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.