Titlebook: Control and Estimation of Distributed Parameter Systems; International Confer W. Desch,F. Kappel,K. Kunisch Conference proceedings 1998 Spr

丛林

Ausfallanalyse der Befragungsdaten,osedness arid convergence of LQR gains using analytic semigroup results combined with LQR theory for unbounded input operators. Finally, numerical examples demonstrating the effectiveness of the method are presented.

休闲

Preconditioners for Karush-Kuhn-Tucker Matrices Arising in the Optimal Control of Distributed Systealyzed. The matrices . in these systems have a block structure with blocks obtained from the discretization of the objective function and the governing differential equation. The preconditioners have a block structure with blocks being composed of preconditioners for the subblocks of the system matr

airborne

Augmented Lagrangian Algorithms for State Constrained Optimal Control Problems, the non-smooth state and control constraints. We present the method with the example of linear optimal control problem with a boundary control function but the proposed algorithms are general and can be adapted to a much wider class of problems.

明确

A Priori Estimates for the Approximation of a Parabolic Boundary Control Problem,alue function and of the corresponding “locally optimal” trajectories. We examine here a time discretization also proving some a priori estimates of convergence for the value function of the time-discrete problem. Some hints are also given for the construction of a fully discrete scheme.

SMART

Designing for Optimal Energy Absorption II, The Damped Wave Equation,th respect to damping, the maximum, over all initial data of unit energy, of the infinite time integral of the instantaneous energy. We show the minimum to exist over those dampings that uniformly avoid zero and infinity. We provide an exact minimum over the class of constant dampings and proceed to

Minikin

A Reduced Basis Method for Control Problems Governed by PDEs,quations. The major advantage of the reduced basis method over others based on finite element, finite difference or spectral method is that it may capture the essential property of solutions with very few basis elements. The feasibility of this method is demonstrated for boundary control problems mo

Eeg332

Proximal Penalty Method for Ill-Posed Parabolic Optimal Control Problems,method is constructed by means of multi-step proximal regularization (only w.r.t. the control functions) in the penalized problems. For distributed control problems with state constraints convergence of the approximately determined solutions of the regularized problems to an optimal process is prove

愚蠢人

Parabola

Brain-Imaging