Unsupervised parallel distributed computing architecture for adaptive control

An unsupervised parallel distributed adaptive controller for nonlinear systems is proposed. It is shown to provide bounded tracking and asymptotic regulation following an arbitrary 'teacher'. A two-degrees-of-freedom robotic simulation example is provided, which demonstrates the feasibility of the proposed method.<
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