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Publications about 'Low-complexity modeling'
Theses
  1. W. Ran. Modeling and analysis of parallel and spatially-evolving wall-bounded shear flows. PhD thesis, University of Southern California, 2020. Keyword(s): Boundary layers, Boundary layer receptivity, Control-oriented modeling, Distributed systems, Drag reduction, Energy amplification, Floquet theory, Flow modeling and control, Free-stream turbulence, Low-complexity modeling, Navier-Stokes equations, Parabolized Floquet equations, Parabolized stability equations, Riblets, Sensor-free flow control, Spatially-evolving flows, Spatially-periodic systems, Spatio-temporal frequency responses, Stochastically-forced Navier-Stokes equations, Transition to turbulence, Turbulence modeling. [bibtex-entry]


  2. A. Zare. Low-complexity stochastic modeling of wall-bounded shear flows. PhD thesis, University of Minnesota, 2016. Keyword(s): Alternating minimization algorithm, Colored noise, Convex optimization, Disturbance dynamics, Flow modeling and control, Low-complexity modeling, Low-rank approximation, Matrix completion problem, Nuclear norm regularization, Structured covariances, Turbulence modeling. [bibtex-entry]


Journal articles
  1. M. R. Jovanovic. From bypass transition to flow control and data-driven turbulence modeling: An input-output viewpoint. Annu. Rev. Fluid Mech., 53(1):311-345, January 2021. Keyword(s): Colored noise, Convex optimization, Drag reduction, Energy amplification, Flow modeling and control, Input-output analysis, Low-complexity modeling, Low-rank approximation, Matrix completion problems, Navier-Stokes equations, Nuclear norm regularization, Simulation-free design, Structured covariances, Transition to turbulence, Turbulence modeling. [bibtex-entry]


  2. A. Zare, T. T. Georgiou, and M. R. Jovanovic. Stochastic dynamical modeling of turbulent flows. Annu. Rev. Control Robot. Auton. Syst., 3:195-219, May 2020. Keyword(s): Colored noise, Convex optimization, Disturbance dynamics, Flow modeling and control, Low-complexity modeling, Low-rank approximation, Matrix completion problems, Nuclear norm regularization, Structured covariances, Turbulence modeling. [bibtex-entry]


  3. W. Ran, A. Zare, M. J. P. Hack, and M. R. Jovanovic. Stochastic receptivity analysis of boundary layer flow. Phys. Rev. Fluids, 4(9):093901 (28 pages), September 2019. Keyword(s): Boundary layers, Boundary layer receptivity, Control-oriented modeling, Distributed systems, Energy amplification, Flow modeling and control, Free-stream turbulence, Low-complexity modeling, Navier-Stokes equations, Spatially-evolving flows, Transition to turbulence. [bibtex-entry]


  4. A. Zare, Y. Chen, M. R. Jovanovic, and T. T. Georgiou. Low-complexity modeling of partially available second-order statistics: theory and an efficient matrix completion algorithm. IEEE Trans. Automat. Control, 62(3):1368-1383, March 2017. Keyword(s): Alternating minimization algorithm, Convex optimization, Disturbance dynamics, Low-rank approximation, Matrix completion problems, Nuclear norm regularization, Structured covariances. [bibtex-entry]


  5. A. Zare, M. R. Jovanovic, and T. T. Georgiou. Colour of turbulence. J. Fluid Mech., 812:636-680, February 2017. Keyword(s): Colored noise, Convex optimization, Disturbance dynamics, Flow modeling and control, Low-complexity modeling, Low-rank approximation, Matrix completion problems, Nuclear norm regularization, Structured covariances, Turbulence modeling. [bibtex-entry]


Conference articles
  1. W. Ran, A. Zare, M. J. P. Hack, and M. R. Jovanovic. Boundary layer receptivity analysis via the algebraic Lyapunov equation. In Proceedings of the 2020 AIAA SciTech Forum and Exposition, Orlando, FL, pages 0109 (15 pages), 2020. Keyword(s): Boundary layers, Boundary layer receptivity, Control-oriented modeling, Distributed systems, Energy amplification, Flow modeling and control, Free-stream turbulence, Low-complexity modeling, Navier-Stokes equations, Spatially-evolving flows, Transition to turbulence. [bibtex-entry]


  2. W. Ran, A. Zare, M. J. P. Hack, and M. R. Jovanovic. Relating global and local stochastic receptivity analysis of boundary layer flows. In Proceedings of the 2019 American Control Conference, Philadelphia, PA, pages 3212-3217, 2019. Note: (Invited paper). Keyword(s): Boundary layers, Boundary layer receptivity, Control-oriented modeling, Distributed systems, Energy amplification, Flow modeling and control, Free-stream turbulence, Low-complexity modeling, Navier-Stokes equations, Spatially-evolving flows, Transition to turbulence. [bibtex-entry]


  3. W. Ran, A. Zare, M. J. P. Hack, and M. R. Jovanovic. Low-complexity modeling of mode interactions in boundary layer flows. In Proceedings of the 2018 American Control Conference, Milwaukee, WI, pages 134-139, 2018. Note: (Invited paper). Keyword(s): Boundary layers, Control-oriented modeling, Distributed systems, Floquet theory, Parabolized stability equations, Spatially-periodic systems, Transition to turbulence. [bibtex-entry]


  4. W. Ran, A. Zare, M. J. P. Hack, and M. R. Jovanovic. Low-complexity stochastic modeling of spatially-evolving flows. In Proceedings of the 2017 American Control Conference, Seattle, WA, pages 3815-3820, 2017. Note: (Invited paper). Keyword(s): Flow modeling and control, Low-complexity modeling, Parabolized stability equations, Spatially-evolving flows, Transition to turbulence, Turbulence modeling. [bibtex-entry]


  5. W. Ran, A. Zare, M. J. P. Hack, and M. R. Jovanovic. Low-complexity stochastic modeling of spatially-evolving flows. In Proceedings of the 2016 Summer Program, Center for Turbulence Research, Stanford University/NASA, pages 285-294, 2016. Keyword(s): Flow modeling and control, Low-complexity modeling, Parabolized stability equations, Spatially-evolving flows, Transition to turbulence, Turbulence modeling. [bibtex-entry]



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Last modified: Sat Oct 5 22:00:41 2024
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