Abstract
Identification and control of transient instabilities in high-dimensional dynamical systems remain a challenge because transient (non-normal) growth cannot be accurately captured by reduced-order modal analysis. Eigenvalue-based methods classify systems as stable or unstable on the sole basis of the asymptotic behavior of perturbations and therefore fail to predict any short-term characteristics of disturbances, including transient growth. In this paper, we leverage the power of the optimally time-dependent (OTD) modes, a set of time-evolving, orthonormal modes that capture directions in phase space associated with transient and persistent instabilities, to formulate a control law capable of suppressing transient and asymptotic growth around any fixed point of the governing equations. The control law is derived from a reduced-order system resulting from projecting the evolving linearized dynamics onto the OTD modes and enforces that the instantaneous growth of perturbations in the OTD-reduced tangent space be nil. We apply the proposed reduced-order control algorithm to several infinite-dimensional systems, including fluid flows dominated by normal and non-normal instabilities, and demonstrate unequivocal superiority of OTD control over classical modal control.
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Acknowledgements
The authors gratefully acknowledge insightful discussions with Dr. Mohammad Farazmand.
Funding
This study was supported by Army Research Office Grant W911NF-17-1-0306 and Air Force Office of Scientific Research Grant FA9550-16-1-0231.
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Blanchard, A., Mowlavi, S. & Sapsis, T.P. Control of linear instabilities by dynamically consistent order reduction on optimally time-dependent modes. Nonlinear Dyn 95, 2745–2764 (2019). https://doi.org/10.1007/s11071-018-4720-1
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DOI: https://doi.org/10.1007/s11071-018-4720-1