2005
DOI: 10.1023/b:auro.0000047285.40228.eb
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Control of a Robotic Wheelchair Using Recurrent Networks

Abstract: This paper describes an adaptive neural control system for governing the movements of a robotic wheelchair. It presents a new model of recurrent neural network based on a RBF architecture and combining in its architecture local recurrence and synaptic connections with FIR filters. This model is used in two different control architectures to command the movements of a robotic wheelchair. The training equations and the stability conditions of the control system are obtained. Practical tests show that the results… Show more

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Cited by 7 publications
(1 citation statement)
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“…Ref. [ 13 ] describes an adaptive neural control system for governing the movements of a robotic wheelchair. Likewise, [ 14 , 15 ] use an ROS (Robotic Operative System) in the wheelchair for the architecture of their modules.…”
Section: Previous Workmentioning
confidence: 99%
“…Ref. [ 13 ] describes an adaptive neural control system for governing the movements of a robotic wheelchair. Likewise, [ 14 , 15 ] use an ROS (Robotic Operative System) in the wheelchair for the architecture of their modules.…”
Section: Previous Workmentioning
confidence: 99%