Adaptive Robust Model-Following Control and Application to Robot Manipulators

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Abstract
The model-following control problem for nonlinear uncertain dynamical systems is considered. Based only on the knowledge of functional properties relating to the bound of the time-varying uncertainty, a class of adaptive feedback controls is developed which, under some realistic assumptions, guarantees the error between the uncertain dynamical system and the model tends to be zero. Application to robotic manipulators is made.

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