Data-driven sensor placement for fluid flows
Author:
Funder
Office of Naval Research
Publisher
Springer Science and Business Media LLC
Subject
Fluid Flow and Transfer Processes,General Engineering,Condensed Matter Physics,Computational Mechanics
Link
https://link.springer.com/content/pdf/10.1007/s00162-021-00584-w.pdf
Reference63 articles.
1. Castello, C. C., Fan, J., Davari, A., Chen, R.-X.: Optimal sensor placement strategy for environmental monitoring using wireless sensor networks. In: 2010 42nd Southeastern Symposium on System Theory (SSST), pp. 275–279. IEEE (2010)
2. Gunder, T., Sehlinger, A., Skoda, R., Mönnigmann, M.: Sensor placement for reduced-order model-based observers in hydraulic fluid machinery. IFAC-PapersOnLine 51(13), 414–419 (2018)
3. Fontanini, A.D., Vaidya, U., Ganapathysubramanian, B.: A methodology for optimal placement of sensors in enclosed environments: a dynamical systems approach. Build. Environ. 100, 145–161 (2016)
4. Chen, K.K., Rowley, C.W.: H2 optimal actuator and sensor placement in the linearised complex Ginzburg–landau system. J. Fluid Mech. 681, 241–260 (2011)
5. Akervik, E., Hœpffner, J., Ehrenstein, U.W.E., Henningson, D.S.: Optimal growth, model reduction and control in a separated boundary-layer flow using global eigenmodes. J. Fluid Mech. 579, 305 (2007)
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