Controlling chaotic convection using neural nets-theory and experiments.
An exploratory study is conducted to assess the feasibility of using neural networks to control flow patterns and to evaluate the performance of these controllers. Neural networks were used to control (suppress) chaotic convection both in experiments and in a theoretical model of a thermal convection loop. It is demonstrated that the neural network controller can successfully cause the flow to behave in a desired way. The performance of the neural network controllers was compared with that of previously used conventional linear proportional controllers.
Bau
Haim H.
HH
Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, USA
Yuen
Po Ki
PK