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Inertial Gradient-Like Dynamical System Controlled by a Stabilizing Term
Authors:A. Cabot
Affiliation:(1) Laboratory LACO, Faculty of Science, University of Limoges, Limoges, France
Abstract:Let H be a real Hilbert space and let 
$$Phi :H to mathbb{R}$$
be a 
$$mathcal{C}^1$$
function that we wish to minimize. For any potential 
$$U:H to mathbb{R}$$
and any control function 
$$varepsilon :mathbb{R}_ + to mathbb{R}_ +$$
which tends to zero as trarr+infin, we study the asymptotic behavior of the trajectories of the following dissipative system:

$$({text{S) }}ddot x(t) + gamma dot x(t) + triangledown Phi (x(t)) + varepsilon (t)triangledown U(x(t)) = 0,{text{ }}gamma >{text{0}}{text{.}}$$
The (S) system can be viewed as a classical heavy ball with friction equation (Refs. 1–2) plus the control term epsi(t)nablaU(x(t)). If PHgr is convex and epsi(t) tends to zero fast enough, each trajectory of (S) converges weakly to some element of argmin PHgr. This is a generalization of the Alvarez theorem (Ref. 1). On the other hand, assuming that epsi is a slow control and that PHgr and U are convex, the (S) trajectories tend to minimize U over argmin PHgr when trarr+infin. This asymptotic selection property generalizes a result due to Attouch and Czarnecki (Ref. 3) in the case where U(x)=|x|2/2. A large part of our results are stated for the following wider class of systems:

$$({text{GS) }}ddot x(t) + gamma dot x(t) + triangledown _x Psi (t,x(t)) = 0,$$
where 
$$Psi :mathbb{R}_ + times H to mathbb{R}$$
is a C1 function.
Keywords:Dissipative dynamical systems  nonlinear oscillators  optimization  convex minimization  heavy ball with friction
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