Modelling and Inverse Problems of Control for Distributed Parameter Systems : Proceedings of IFIP (W.G.7.2)-IIASA Conference, Laxenburg, Austria, July 24-28, 1989 / edited by Alexander Kurzhanski, Irena Lasiecka.

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Bibliographic Details
Online Access: Full Text (via Springer)
Main Author: Kurzhanski, Alexander
Other Authors: Lasiecka, Irena
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 1991.
Series:Lecture notes in control and information sciences ; 154.
Subjects:

MARC

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245 1 0 |a Modelling and Inverse Problems of Control for Distributed Parameter Systems :  |b Proceedings of IFIP (W.G.7.2)-IIASA Conference, Laxenburg, Austria, July 24-28, 1989 /  |c edited by Alexander Kurzhanski, Irena Lasiecka. 
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490 1 |a Lecture Notes in Control and Information Sciences,  |x 0170-8643 ;  |v 154. 
505 0 |a Tracking property: A viability approach -- Extensions and global estimates for evolutionary discrete control systems -- Controlling the dynamics of scalar reaction diffusion equations by finite dimensional controllers -- Estimation of catalyst pellet activity distribution -- Some remarks on the periodic linear quadratic regulator problem -- Infinite dimensional control problems with state constraints -- Approximate and numerical methods of the optimal control synthesis for stochastic systems -- Convergence rates for regularized nonlinear illposed problems -- On inverse problems for evolutionary systems: Guaranteed estimates and regularized solutions -- Exponential stabilization, via Riccati operator, of hyperbolic systems with uncontrolled, unbounded perturbations -- Some two-dimensional boundary shape optimization problems for distributed parameter systems -- Inverse problem of dynamics for systems described by parabolic inequality -- Sensitivity analysis of shallow shell with obstacle -- A note on an interaction between penalization and discretization -- Problems of mathematical modelling of nonlinear processes -- Some results concerning free boundary problems solved by domain (or shape) optimization of energy. 
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