Abstract
In many real-life applications of optimal control problems with constraints in form of partial differential equations (PDEs), hyperbolic equations are involved which typically describe transport processes. Since hyperbolic equations usually propagate discontinuities of initial or boundary conditions into the domain on which the solution lives or can develop discontinuities even in the presence of smooth data. problems of this type constitute a severe challenge for both theory and numerics of PDE constrained optimization.
In the present paper, optimal control problems for the well-known wave equation are investigated. The intention is to study the order of the numerical approximations for both the optimal state and the optimal control variables for problems with known analytical solutions. The numerical method chosen here is a full discretization method based on appropriate finite differences by which the PDE constrained optimal control problem is transformed into a nonlinear programming problem (NLP). Hence, we follow here the approach 'first discretize, then optimize'. which allows us to make use not only of powerful methods for the solution of NLPs, but also to compute sensitivity differentials, a necessary tool for real-time control. (C) 2008 IMACS. Published by Elsevier B.V. All rights reserved.
Original language | English |
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Pages (from-to) | 1020-1032 |
Number of pages | 13 |
Journal | Mathematics and Computers in Simulation |
Volume | 79 |
Issue number | 4 |
DOIs | |
Publication status | Published - 15 Dec 2008 |
Keywords
- Hyperbolic equation
- Wave equation
- Discretization method
- Optimal control