Radial basis function networks with FIR/IIR synapses
Neural Processing Letters
On the Design and Implementation of a Neuromorphic Self-Tuning Controller
Neural Processing Letters
Neural Control of the Movements of a Wheelchair
Journal of Intelligent and Robotic Systems
Learning rules for neuro-controller via simultaneous perturbation
IEEE Transactions on Neural Networks
On-line learning algorithms for locally recurrent neural networks
IEEE Transactions on Neural Networks
Diagonal recurrent neural networks for dynamic systems control
IEEE Transactions on Neural Networks
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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 achieved using the proposed method are better than those obtained using PID controllers or other recurrent neural networks models