Comparison of Gradient Estimation Methods for Real-time Optimization

• Presented at: 21st European Symposium on Computer Aided Process Engineering - ESCAPE 21, Chalkidiki, Greece, May 29 - June 1, 2011
• Published in: 21st European Symposium on Computer Aided Process Engineering - ESCAPE 21, vol. A, p. 607-611
• Oxford, U.K.: Elsevier, 2011

Various real-time optimization techniques proceed by controlling the gradient to zero. These methods primarily differ in the way the gradient is estimated. This paper compares various gradient estimation methods. It is argued that methods with model-based gradient estimation converge faster but can be inaccurate in the presence of plant-model mismatch. In contrast, model-free methods are accurate but typically take longer to converge.

Keywords: Real-time optimization ; Extremum-seeking control ; Neighboring extremals ; Self-optimizing control ; Gradient estimation

Reference

• EPFL-CONF-155235
• URL: http://www.escape-21.gr/

Record created on 2010-11-22, modified on 2017-05-10