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The present paper uses the learning ability of neural networks (NN) for nonlinear systems in order to design a controller for trajectory tracking problems in wheeled mobile robots that have their kinematic constraints violated. The singular perturbation approach is used to highlight the presence of uncertainties related to the violation of the kinematic constraints and propose an alternative global...
The dynamics of complex neural networks modelling self-organized process in cortical maps, like unsupervised competitive neural networks (UCNN), are based on the standard competitive learning law to determine the best-matching representant among all neurons for a given input. However, UCNNs include aspects of long and short-term memory, which are characterized by an equation of neural activity as...
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