Abstract In this paper, we study the worst rate of exponential decay for degenerate gradient flows in ℝn of the form ẋ(t) = —c(t)c(t)Tx(t), issued from adaptative control theory, under… Click to show full abstract
Abstract In this paper, we study the worst rate of exponential decay for degenerate gradient flows in ℝn of the form ẋ(t) = —c(t)c(t)Tx(t), issued from adaptative control theory, under a persistent excitation (PE) condition. That is, there exists a, b, T > 0 such that, for every t ≥ 0 it holds aIdn ≤ ∫t+Tt c(s)c(s)T ds ≤ bIdn. Our main result is an upper bound of the form a/(1+b)2T to be compared with the well-known lower bounds of the form a/(1+nb2)T. As a byproduct, we also provide necessary conditions for the exponential convergence of these systems under a more general (PE) condition. Our techniques relate the worst rate of exponential decay to an optimal control problem that we study in detail.
               
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