Higher-Order Neural Network Based Root-Solving Controller for Adaptive Tracking of Stable Nonlinear Plants


The use of intelligent control schemes in nonlinear model based control (NMBC) has gained widespread popularity. Neural networks, in particular, have been used extensively to model the dynamics of nonlinear plants. However, in most cases, these models do not lend themselves to easy maneuvering for controller design. Therefore, a common need is being felt to… (More)


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