Adaptive Model-Following Controls for Uncertain Dynamical Systems

The model-following problem for nonlinear uncertain dynamical systems is considered. Based only on knowledge of functional properties relating to 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 zero. Application to robotic tracking is discussed.

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