Now showing items 1-9 of 9

    • Control of subsonic cavity flows by neural networks-analytical models and experimental validation 

      Efe, M. Ö.; Debiasi, M.; Yan, P.; Özbay, Hitay; Samimy, M. (American Institute of Aeronautics and Astronautics, 2005)
      Flow control is attracting an increasing attention of researchers from a wide spectrum of specialties because of its interdisciplinary nature and the associated challenges. One of the main goals of The Collaborative Center ...
    • Experimental results and bifurcation analysis on scaled feedback control for subsonic cavity flows 

      Yuan, X.; Caraballo, E.; Debiasi, M.; Little, J.; Serrani, A.; Özbay, Hitay; Samimy, M. (IEEE, 2006)
      In this paper, we present the latest results of our ongoing research activities in the development of reduced-order models based feedback control of subsonic cavity flows. The model was developed using the Proper Orthogonal ...
    • Experimental study of linear closed-loop control of subsonic cavity flow 

      Yan P.; Debiasi, M.; Yuan X.; Little J.; Özbay, Hitay; Samimy, M. (2006)
      A study is presented of the modeling and implementation of different concepts for linear feedback control of a single-mode resonance shallow cavity flow. When a physics-based linear model is used for cavity pressure ...
    • Feedback control design for subsonic cavity flows 

      Yuan X.; Caraballo, E.; Little J.; Debiasi, M.; Serrani, A.; Özbay, Hitay; Myatt J.H.; Samimy, M. (2009)
      A benchmark problem in active aerodynamic flow control, suppression of strong pressure oscillations induced by flow over a shallow cavity, is addressed in this paper. Proper orthogonal decomposition and Galerkin projection ...
    • Modeling and feedback control for subsonic cavity flows: a collaborative approach 

      Yan, P.; Debiasi, M.; Yuan, X.; Caraballo, E.; Serrani, A.; Özbay, Hitay; Myatt, J. M.; Samimy, M. (IEEE, 2005)
      Feedback control of aerodynamic flows is attracting the attention of researchers from a wide spectrum of specialties, because of its interdisciplinary nature and the challenges inherent to the problem. One of the main goals ...
    • Modeling of subsonic cavity flows by neural networks 

      Efe, M.Ö.; Debiasi, M.; Özbay, Hitay; Samimy, M. (IEEE, 2004-06)
      Influencing the behavior of a flow field is a core issue as its improvement can yield significant increase of the efficiency and performance of fluidic systems. On the other hand, the tools of classical control systems ...
    • Neural network-based modelling of subsonic cavity flows 

      Efe, M. Ö.; Debiasi, M.; Yan, P.; Özbay, Hitay; Samimy, M. (Taylor & Francis, 2008)
      A fundamental problem in the applications involved with aerodynamic flows is the difficulty in finding a suitable dynamical model containing the most significant information pertaining to the physical system. Especially ...
    • Seven tuning schemes for an ADALINE model to predict floor pressures in a subsonic cavity flow 

      Efe, M. Ö.; Debiasi, M.; Yan, P.; Özbay, Hitay; Samimy, M. (Sage Publications Ltd., 2009)
      This paper presents a simple yet effective one-step-ahead predictor based on an adaptive linear element (ADALINE). Several tuning schemes are studied to see whether the obtained model is consistent. The process under ...
    • Support vector networks for prediction of floor pressures in shallow cavity flows 

      Efe, M. Ö.; Debiasi, M.; Yan, P.; Özbay, Hitay; Samimy, M. (IEEE, 2007)
      During the last decade, Support Vector Machines (SVM) have proved to be very successful tools for classification and regression problems. The representational performance of this type of networks is studied on a cavity ...