2011
DOI: 10.1002/asjc.273
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On equivalence between internal and external model‐based repetitive learning controllers for nonlinear passive systems

Abstract: In this paper a new class of globally stable finite dimensional repetitive controllers for nonlinear passive systems is proposed. The proposed internal model-based repetitive controller has a structure in the form of a parallel connection of linear oscillators and one integrator. The passive interconnection of the controller and the nonlinear passive systems provides the same stability conditions as the controller with the exact feed-forward compensation of system dynamics. The existing internal and external m… Show more

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Cited by 5 publications
(5 citation statements)
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“…In [20], passivity of the controller (35) is proven, as well as the closed-loop stability of this controller and a passive nonlinear system. The hydraulic transmission line is quite clearly dissipative due to the friction force, but to ensure the correct control action applied to the choke, we must take one more step.…”
Section: B Linear Internal Model Controllermentioning
confidence: 99%
“…In [20], passivity of the controller (35) is proven, as well as the closed-loop stability of this controller and a passive nonlinear system. The hydraulic transmission line is quite clearly dissipative due to the friction force, but to ensure the correct control action applied to the choke, we must take one more step.…”
Section: B Linear Internal Model Controllermentioning
confidence: 99%
“…According to (13) in Lemma 2, estimation of the periodic control u m (t) is further reduced to estimation of the unknown constant vector u in (13). According to (13) in Lemma 2, estimation of the periodic control u m (t) is further reduced to estimation of the unknown constant vector u in (13).…”
Section: Proof See Appendix Amentioning
confidence: 99%
“…After identifying the existence of the ideal control u m (t), the control design problem becomes the problem of estimating u m (t). According to (13) in Lemma 2, estimation of the periodic control u m (t) is further reduced to estimation of the unknown constant vector u in (13). In order to estimate u , one needs a linear regression form in u .…”
Section: Proof See Appendix Amentioning
confidence: 99%
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