Abstract
A novel approach for the solution of nonlinear adaptive control problems is proposed. This approach does not rely on structural assumptions on the system to be controlled nor on linear parameterization. The approach is illustrated by means of several applications, including wing rock elimination, an adaptive visual servoing problem, the control of a power converter, and a flight control problem. Simulations and experimental results highlight the validity of the proposed methodology.
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