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On-line approximation based control methods seek improved performance for poorly modeled nonlinear systems by approximating the unknown nonlinearities as a part of the control design. Such on-line approximators cannot be perfect, so there would always remain some inherent approximation error. Recent articles have improved the robustness and convergence properties of such methods by also estimating...
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