Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/71654
Title: Robust adaptive neural network control for nonlinear MIMO time-delay systems
Authors: Tee, K.P.
Ge, S.S. 
Keywords: Adaptive control
MIMO nonlinear systems
Neural networks
Time-delay 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

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