Departmental Papers (MEAM)

Document Type

Journal Article

Date of this Version

February 1999


Copyright (1999) American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. Reprinted from Physics of Fluids, Volume 11, Issue 6, June 1999, pages 1435-1448.
Publisher URL:


In theory and experiments, optimal and adaptive control strategies are employed to suppress chaotic convection in a thermal convection loop. The thermal convection loop is a relatively simple experimental paradigm that exhibits complex dynamic behavior and provides a convenient platform for evaluating and comparing various control strategies. The objective of this study is to evaluate the feasibility of employing optimal control and nonlinear estimator to alter naturally occurring flow patterns and to compare the performance of the optimal controller with that of other controllers such as neural network controllers. It is demonstrated that when the system's model is not known, experimental data alone can be utilized for the construction of a proportional controller.


convection, optimal control, adaptive control, flow control, chaos



Date Posted: 22 October 2007

This document has been peer reviewed.