کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9501641 | 1338762 | 2005 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Asymptotic control and stabilization of nonlinear oscillators with non isolated equilibria, a note: from L1 to non L1
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موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
آنالیز ریاضی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
In [H. Attouch, M.-O. Czarnecki, Asymptotic control and stabilization of non-linear oscillators with non isolated equilibria, J. Differential Equations, 179 (2002) 278-310], we exhibited a sharp condition ensuring the efficiency of the Tikhonov-like control term in the (HBFC) system. Precisely, let Φ:HâR be a C1 function on a real Hilbert space H, let γ>0 be a positive (damping) parameter and let É:R+âR+ be a control function which decreases to zero as tâ+â. In order to select particular equilibria in the important case where Φ has non isolated equilibria, we introduced in [H. Attouch, M.-O. Czarnecki, J. Differential Equations, 179 (2002) 278-310] the following damped nonlinear oscillator and studied its asymptotic behavior(HBFC)x¨(t)+γxË(t)+âΦ(x(t))+É(t)x(t)=0.We established that, when Φ is convex and S=argminΦâ â
, under the key assumption that É is a “slow” control, i.e., â«0+âÉ(t)dt=+â, then each trajectory of the (HBFC) system strongly converges, when tâ+â, to the element of minimal norm of the closed convex set S. The condition on the control term É is sharp, indeed, when â«0+âÉ(t)dt<+â, the trajectory weakly converges but it may not strongly converge and we have no information a priori on the weak limit. In this note, we give an answer to the following question: “When does an L1 control term É becomes (or behave) non L1?”Precisely, take a control term ÉâL1, let x be the solution of the corresponding (HBFC) system, take Én to be a non increasing truncation of É (Én(t)=É(t) for tâ[0,n]), let x be the solution of the corresponding (HBFC) system. We show thatlimnâ+ââ¥xn-xâ¥â=0.In particular, the weak limits of the trajectories xn strongly converge, when nâ+â, to the (strong) limit of the trajectory x. In other words, there is no loss of the information gained by the “slow behavior” for t⩽n.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Differential Equations - Volume 217, Issue 2, 15 October 2005, Pages 501-511
Journal: Journal of Differential Equations - Volume 217, Issue 2, 15 October 2005, Pages 501-511
نویسندگان
Marc-Olivier Czarnecki,