Exact and approximate controllability for distributed parameter systems : a numerical approach /

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Bibliographic Details
Author / Creator:Glowinski, R.
Imprint:Cambridge, UK ; New York : Cambridge University Press, 2008.
Description:xii, 458 p. : ill. ; 24 cm.
Language:English
Series:Encyclopedia of mathematics and its applications ; 117
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/7095575
Hidden Bibliographic Details
Other authors / contributors:Lions, J.-L. (Jacques-Louis), 1928-2001.
He, Jiwen.
ISBN:9780521885720 (hardback : alk. paper)
0521885728 (hardback : alk. paper)
Notes:Includes bibliographical references (p. [430]-449) and indexes.
Table of Contents:
  • Preface
  • Introduction
  • I.1. What it is all about?
  • I.2. Motivation
  • I.3. Topologies and numerical methods
  • I.4. Choice of the control
  • I.5. Relaxation of the controllability notion
  • I.6. Various remarks
  • Part I. Diffusion Models
  • 1. Distributed and pointwise control for linear diffusion equations
  • 1.1. First example
  • 1.2. Approximate controllability
  • 1.3. Formulation of the approximate controllability problem
  • 1.4. Dual problem
  • 1.5. Direct solution to the dual problem
  • 1.6. Penalty arguments
  • 1.7. L[superscript infinity] cost functions and bang-bang controls
  • 1.8. Numerical methods
  • 1.9. Relaxation of controllability
  • 1.10. Pointwise control
  • 1.11. Further remarks (I): Additional constraints on the state function
  • 1.12. Further remarks (II): A bisection based memory saving method for the solution of time dependent control problems by adjoint equation based methodologies
  • 1.13. Further remarks (III): A brief introduction to Riccati equations based control methods
  • 2. Boundary control
  • 2.1. Dirichlet control (I): Formulation of the control problem
  • 2.2. Dirichlet control (II): Optimality conditions and dual formulations
  • 2.3. Dirichlet control (III): Iterative solution of the control problems
  • 2.4. Dirichlet control (IV): Approximation of the control problems
  • 2.5. Dirichlet control (V): Iterative solution of the fully discrete dual problem (2.124)
  • 2.6. Dirichlet control (VI): Numerical experiments
  • 2.7. Neumann control (I): Formulation of the control problems and synopsis
  • 2.8. Neumann control (II): Optimality conditions and dual formulations
  • 2.9. Neumann control (III): Conjugate gradient solution of the dual problem (2.192)
  • 2.10. Neumann control (IV): Iterative solution of the dual problem (2.208), (2.209)
  • 2.11. Neumann control of unstable parabolic systems: a numerical approach
  • 2.12. Closed-loop Neumann control of unstable parabolic systems via the Riccati equation approach
  • 3. Control of the Stokes system
  • 3.1. Generalities. Synopsis
  • 3.2. Formulation of the Stokes system. A fundamental controllability result
  • 3.3. Two approximate controllability problems
  • 3.4. Optimality conditions and dual problems
  • 3.5. Iterative solution of the control problem (3.19)
  • 3.6. Time discretization of the control problem (3.19)
  • 3.7. Numerical experiments
  • 4. Control of nonlinear diffusion systems
  • 4.1. Generalities. Synopsis
  • 4.2. Example of a noncontrollable nonlinear system
  • 4.3. Pointwise control of the viscous Burgers equation
  • 4.4. On the controllability and the stabilization of the Kuramoto-Sivashinsky equation in one space dimension
  • 5. Dynamic programming for linear diffusion equations
  • 5.1. Introduction. Synopsis
  • 5.2. Derivation of the Hamilton-Jacobi-Bellman equation
  • 5.3. Some remarks
  • Part II. Wave Models
  • 6. Wave equations
  • 6.1. Wave equations: Dirichlet boundary control
  • 6.2. Approximate controllability
  • 6.3. Formulation of the approximate controllability problem
  • 6.4. Dual problems
  • 6.5. Direct solution of the dual problem
  • 6.6. Exact controllability and new functional spaces
  • 6.7. On the structure of space E
  • 6.8. Numerical methods for the Dirichlet boundary controllability of the wave equation
  • 6.9. Experimental validation of the filtering procedure of Section 6.8.7 via the solution of the test problem of Section 6.8.5
  • 6.10. Some references on alternative approximation methods
  • 6.11. Other boundary controls
  • 6.12. Distributed controls for wave equations
  • 6.13. Dynamic programming
  • 7. On the application of controllability methods to the solution of the Helmholtz equation at large wave numbers
  • 7.1. Introduction
  • 7.2. The Helmholtz equation and its equivalent wave problem
  • 7.3. Exact controllability methods for the calculation of time-periodic solutions to the wave equation
  • 7.4. Least-squares formulation of the problem (7.8)-(7.11)
  • 7.5. Calculation of J'
  • 7.6. Conjugate gradient solution of the least-squares problem (7.14)
  • 7.7. A finite element-finite difference implementation
  • 7.8. Numerical experiments
  • 7.9. Further comments. Description of a mixed formulation based variant of the controllability method
  • 7.10. A final comment
  • 8. Other wave and vibration problems. Coupled systems
  • 8.1. Generalities and further references
  • 8.2. Coupled Systems (I): a problem from thermo-elasticity
  • 8.3. Coupled systems (II): Other systems
  • Part III. Flow Control
  • 9. Optimal control of systems modelled by the Navier-Stokes equations: Application to drag reduction
  • 9.1. Introduction. Synopsis
  • 9.2. Formulation of the control problem
  • 9.3. Time discretization of the control problem
  • 9.4. Full discretization of the control problem
  • 9.5. Gradient calculation
  • 9.6. A BFGS algorithm for solving the discrete control problem
  • 9.7. Validation of the flow simulator
  • 9.8. Active control by rotation
  • 9.9. Active control by blowing and suction
  • 9.10. Further comments on flow control and conclusion
  • Epilogue
  • Further Acknowledgements
  • References
  • Index of names
  • Index of subjects