Abstract
In a Hilbert space , we study the stabilization in finite-time of the trajectories generated by a continuous (in time ) damped inertial dynamic system. The potential function to be minimized is supposed to be differentiable, not necessarily convex. It enters the dynamic via its gradient. The damping results from the joint action of dry friction, viscous friction, and a geometric damping driven by the Hessian of . The dry friction damping function , which is convex and continuous with a sharp minimum at the origin (typically with ), enters the dynamic via its subdifferential. It acts as a soft threshold operator on the velocities, and is at the origin of the stabilization property in finite-time. The Hessian driven damping, which enters the dynamics in the form , permits to control and attenuate the oscillations which occur naturally with the inertial effect. We give two different proofs, in a finite dimensional setting, of the existence of strong solutions of this second-order differential inclusion. One is based on a fixed point argument and Leray-Schauder theorem, the other one uses the Yosida approximation technique together with the Mosco convergence. We also give an existence and uniqueness result in a general Hilbert framework by assuming that the Hessian of the function is Lipschitz continuous on the bounded sets of . Then, we study the convergence properties of the trajectories as , and show their stabilization property in finite-time. The convergence results tolerate the presence of perturbations (or errors) under the sole assumption of their asymptotic convergence to zero. The study is extended to the case of a nonsmooth convex function by using Moreau's envelope.
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Published by Heldermann Verlag, 2021. Rights now held by Banach Press LLC.
