Optimal Control of Partial Differential Equations Proceedings of the IFIP WG 7.2 International Conference Irsee, April 9–12, 1990

The purpose of the Conference on Optimal Control of Partial Differential Equations was to bring together leading experts in this field and to exchange ideas and information about recent advances in control theory connected with partial differential equations. The papers collected in these Proceedings are mainly research papers in which new results are presented. Out of a broad spectrum of topics the problem of exact controllability played a central role, and also shape control was given some special attention. Nonlinear problems were mainly treated under the aspect of optimality whereas identification problems and also numerical aspects were considered only treated marginally.

Relaxed controls for stochastic boundary value problems in infinite dimension.- State-constrained control problems of quasilinear elliptic equations.- A nonlinear Abel integral equation.- Shape derivatives for nonsmooth domains.- A problem of exact controllability of distributed system: Boundary control obtained as limit of internal control.- Optimal control problems for distributed parameter systems governed by semilinear parabolic equations in l1 and l? spaces.- Shaping the reference input response of linear distributed parameter systems via output feedback.- Second order optimality conditions for nonlinear parabolic boundary control problems.- On a weighting method improving identifiability of distributed parameter systems.- Discretization error in optimal control.- The euler-bernoulli plate is exactly controllable via bending moments only.- A prospective look at SQP methods for semilinear parabolic control problems.- The hilbert uniqueness method: A retrospective.- On control and stabilization of a rotating beam by applying moments at the base only.- Some regularity properties for the wave equation related to an exact controllability problem.- Dynamical shape control of nonlinear thin rods.- Shape derivative of discretized problems.- On necessary optimality conditions for optimal control problems.