Abstract
A Lavrentiev prox-regularization method for optimal control problems with pointwise state constraints is introduced. The convergence of the controls generated by the iterative Lavrentiev prox-regularization algorithm is studied. For a sequence of regularization parameters that converges to zero, strong convergence of the generated control sequence to the optimal control is proved. Due to the prox-character of the proposed regularization, the feasibility of the iterates for a given parameter can be improved compared with the non-prox Lavrentiev regularization.
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© 2009 Birkhäuser Verlag Basel/Switzerland
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Gugat, M. (2009). Lavrentiev Prox-regularization Methods for Optimal Control Problems with Pointwise State Constraints. In: Kunisch, K., Sprekels, J., Leugering, G., Tröltzsch, F. (eds) Optimal Control of Coupled Systems of Partial Differential Equations. International Series of Numerical Mathematics, vol 158. Birkhäuser, Basel. https://doi.org/10.1007/978-3-7643-8923-9_8
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DOI: https://doi.org/10.1007/978-3-7643-8923-9_8
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