Receding horizon control, also known as model predictive control, is a kind of optimal feedback control, in which the control performance over a finite future is optimized, and its performance index has a moving initial time and a moving terminal time.
The control of fluid dynamics is a challenging problem that arises in aeronautical, biological, chemical, and environmental fields.
The objective of this study is to provide a novel framework of designing a receding horizon controller for fluid systems.
The method proposed here is advantageous for its applicability to a wide class of optimization problem of fluid systems.
This research is supported in part by Japan Society for the Promotion of Science, Grant-in-Aid for Young Scientists (B) 24760334 and Grant-in-Aid for Scientific Research (B) 24360165.