Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICARCV.2006.345398
Title: Adaptive smart neural network tracking control of wheeled mobile robots
Authors: Wang, Z.P. 
Ge, S.S. 
Lee, T.H. 
Lai, X.C.
Keywords: Adaptive
Mobile robots
Smart neural network control
Issue Date: 2006
Source: Wang, Z.P.,Ge, S.S.,Lee, T.H.,Lai, X.C. (2006). Adaptive smart neural network tracking control of wheeled mobile robots. 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 : -. ScholarBank@NUS Repository. https://doi.org/10.1109/ICARCV.2006.345398
Abstract: Adaptive smart neural network controller design is presented in this paper for wheeled mobile robots with unknown dynamics. The controller is constructed at the dynamical level. The smart neural control scheme is designed such that the current control action not only can utilize the knowledge that neural networks learned from the past experience, but also keep the learning ability in the operational phase and finish the same control task in a 'smarter' way. The proposed neural control scheme can act smartly In the operational phase after the networks have been well trained in the training phase, in a way similar to the control process of human in learning to accomplish some complicated control tasks. All the system states are shown to be able to track the desired trajectory. Numerical simulation is conducted to verify the effectiveness of the proposed method. © 2006 IEEE.
Source Title: 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
URI: http://scholarbank.nus.edu.sg/handle/10635/69227
ISBN: 1424403421
DOI: 10.1109/ICARCV.2006.345398
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