1987
DOI: 10.1080/00207178708933715
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Persistent excitation in adaptive systems

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Cited by 261 publications
(172 citation statements)
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References 23 publications
(9 reference statements)
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“…Up to now, this fact was established via Lyapunov-like arguments similar to [11] exemplified by, for example, Lemma 5 in [4]; see also Lemma 1 in [12]. However to the best of our knowledge, no Lyapunov function or functional is available so far that proves exponential stability of this system, though a design of such a functional might be of self-interest when treating, for example, system identification, adaptive control, or robustness issue.…”
Section: Resultsmentioning
confidence: 99%
“…Up to now, this fact was established via Lyapunov-like arguments similar to [11] exemplified by, for example, Lemma 5 in [4]; see also Lemma 1 in [12]. However to the best of our knowledge, no Lyapunov function or functional is available so far that proves exponential stability of this system, though a design of such a functional might be of self-interest when treating, for example, system identification, adaptive control, or robustness issue.…”
Section: Resultsmentioning
confidence: 99%
“…Persistency of excitation (PE) has been linked to the asymptotic stability of adaptive systems [13]. PE establishes that a necessary (and sometimes sufficient) condition for parameter identification is that the reference trajectory be sufficiently rich so that the regressor satisfies a PE inequality [3] along the reference trajectory.…”
Section: Draftmentioning
confidence: 99%
“…For example, this property ensures stability in the face of persistent disturbances [2] and provides rate of convergence information [12]. In general, PE is neither necessary nor sufficient for uniform asymptotic stability [13].) One notable example is the nonlinear dynamics of robot manipulators, where PE ensures asymptotic parameter error convergence under the Slotine-Li adaptive controller [15].…”
Section: Draftmentioning
confidence: 99%
“…The so-called persistent excitation condition is well known condition of convergence of the parameter estimates to their true values [7,10]. Fulfillment of this requirement is an open question for the considered system, because the UAV controlling input (the rudder deflection) is produced by the autopilot as a function on current UAV position and the command (reference) signal.…”
Section: Introductionmentioning
confidence: 99%