Please use this identifier to cite or link to this item:
|Title:||Robust adaptive neural network control for nonlinear MIMO time-delay systems||Authors:||Tee, K.P.
MIMO nonlinear systems
|Issue Date:||2005||Citation:||Tee, K.P.,Ge, S.S. (2005). Robust adaptive neural network control for nonlinear MIMO time-delay systems. IFAC Proceedings Volumes (IFAC-PapersOnline) 16 : 1177-1182. ScholarBank@NUS Repository.||Abstract:||This paper proposes an adaptive neural network (NN) controller for a class of multi-input multi-output (MIMO) nonlinear systems with unknown delays, but with known bounds on the delay functionals. The use of a separation technique removes the need to make any assumptions with regard to the structure of the delay functionals, thus making our results applicable to a larger class of systems. Given that the bounds on the delay functionals are known, we can construct Lyapunov-Krasovskii functionals and adaptive NNs to obtain a controller that guarantees all signals to be semi-globally uniformly ultimately bounded (SGUUB) while the outputs track specified desired trajectories. Copyright © 2005 IFAC.||Source Title:||IFAC Proceedings Volumes (IFAC-PapersOnline)||URI:||http://scholarbank.nus.edu.sg/handle/10635/71654||ISBN:||008045108X||ISSN:||14746670|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 12, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.