论文信息 - Exponential convergence of the tracking error in adaptive systems without persistent excitation

Exponential convergence of the tracking error in adaptive systems without persistent excitation

Conditions are investigated for exponential convergence of the tracking error in feedforward adaptive systems. A main result is that for a bounded periodic regressor, the tracking error associated with the adaptive gradient algorithm converges exponentially without regard to persistent excitation (PE) conditions.

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