Dynamic optimization of dissipative PDE systems using empirical eigenfunctions

Antonios Armaou, Panagiotis D. Christofides

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations


In this work, we propose a computationally efficient method for the solution of dynamic constraint optimization problems arising in the context of spatially-distributed processes governed by highly-dissipative nonlinear partial differential equations (PDEs). The method is based on spatial discretization using combination of the method of weighted residuals with spatially-global empirical eigenfunctions as basis functions. We use a diffusion-reaction process with nonlinearities and spatially-varying coefficients to demonstrate the implementation and evaluate the effectiveness of the proposed optimization method.

Original languageEnglish (US)
Pages (from-to)1040-1048
Number of pages9
JournalProceedings of the American Control Conference
StatePublished - 2002
Event2002 American Control Conference - Anchorage, AK, United States
Duration: May 8 2002May 10 2002

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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