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Consisting of 16 refereed original contributions, this volume presents a diversified collection of recent results in control of distributed parameter systems. Topics addressed include - optimal control in fluid mechanics - numerical methods for optimal control of partial differential equations - modeling and control of shells - level set methods - mesh adaptation for parameter estimation problems - shape optimization Advanced graduate students and researchers will find the book an excellent guide to the forefront of control and estimation of distributed parameter systems.
List of contents
State Estimation and Tracking Control of Nonlinear Dynamical Systems.- A Well-posedness Result for a Shear Wave Propagation Model.- Mesh Adaptation for Parameter Identification Problems.- A SQP-Augmented Lagrangian Method for Optimal Control of Semilinear Elliptic Variational Inequalities.- On the Long Time Behavior of Approximating Dynamical Systems.- Error Estimates in Space and Time for Tracking-type Control of the Instationary Stokes System.- Modeling and Control of Asymptotic Shells.- Unbounded Observers and Riccati Operators in Nonreflexive Spaces.- Centroidal Voronoi Tessellation Based Proper Orthogonal Decomposition Analysis.- Time and Norm Optimal Controls for Linear Parabolic Equations: Necessary and Sufficient Conditions.- Feedback Stabilization for the 2D Oseen Equations: Additional Remarks.- Pontryagin's Maximum Principle via Singular Perturbations.- Level Set Methods for Variational Problems and Applications.- Boundary Observability of Compactly Perturbed Systems.- Some Shape Optimal Control Computations for Navier-Stokes Flows.- Model Development for the Positioning Mechanisms in an Atomic Force Microscope.
Summary
Consisting of 16 refereed original contributions, this volume presents a
diversified collection of recent results in control of distributed
parameter systems, including applications in fluid mechanics, partial
differential equations, perturbation theory and shape optimization.
Advanced graduate students and researchers will find the book an
excellent guide to the forefront of control and estimation of
distributed pa
