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We present a general family of frequency adaptive algorithms; it is based on the minimization of the gradient of the k-th absolute power of the overall frequency error. We use a context of plant identification to develop the adaptive equations, to establish their averaged versions and to find the convergence conditions. A general discussion of performance is also given. Finally, we verify the obtained results for the first four algorithms by means of some computer simulations.