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From resolvent to Gramians: extracting forcing and response modes for control

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Title: From resolvent to Gramians: extracting forcing and response modes for control
Authors: Herrmann, Benjamin, Baddoo, Peter J., Dawson, Scott T. M., Semaan, Richard, Brunton, Steven L., McKeon, Beverley J.
Publication Year: 2023
Collection: Mathematics
Physics (Other)
Subject Terms: Physics - Fluid Dynamics, Mathematics - Dynamical Systems
More Details: During the last decade, forcing and response modes produced by resolvent analysis have demonstrated great potential to guide sensor and actuator placement and design in flow control applications. However, resolvent modes are frequency-dependent, which, although responsible for their success in identifying scale interactions in turbulence, complicates their use for control purposes. In this work, we seek orthogonal bases of forcing and response modes that are the most responsive and receptive, respectively, across all frequencies. We show that these frequency-independent bases of \emph{representative} resolvent modes are given by the eigenvectors of the observability and controllability Gramians of the system considering full state inputs and outputs. We present several numerical examples where we leverage these bases by building orthogonal or interpolatory projectors onto the dominant forcing and response subspaces. Gramian-based forcing modes are used to identify dynamically relevant disturbances, to place point sensors to measure disturbances, and to design actuators for feedforward control in the subcritical linearized Ginzburg--Landau equation. Gramian-based response modes are used to identify coherent structures and for point sensor placement aiming at state reconstruction in the turbulent flow in a minimal channel at $\mathrm{Re}_{\tau}=185$. The approach does not require data snapshots and relies only on knowledge of the steady or mean flow.
Document Type: Working Paper
Access URL: http://arxiv.org/abs/2301.13093
Accession Number: edsarx.2301.13093
Database: arXiv
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  Data: From resolvent to Gramians: extracting forcing and response modes for control
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  Data: <searchLink fieldCode="AR" term="%22Herrmann%2C+Benjamin%22">Herrmann, Benjamin</searchLink><br /><searchLink fieldCode="AR" term="%22Baddoo%2C+Peter+J%2E%22">Baddoo, Peter J.</searchLink><br /><searchLink fieldCode="AR" term="%22Dawson%2C+Scott+T%2E+M%2E%22">Dawson, Scott T. M.</searchLink><br /><searchLink fieldCode="AR" term="%22Semaan%2C+Richard%22">Semaan, Richard</searchLink><br /><searchLink fieldCode="AR" term="%22Brunton%2C+Steven+L%2E%22">Brunton, Steven L.</searchLink><br /><searchLink fieldCode="AR" term="%22McKeon%2C+Beverley+J%2E%22">McKeon, Beverley J.</searchLink>
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  Data: During the last decade, forcing and response modes produced by resolvent analysis have demonstrated great potential to guide sensor and actuator placement and design in flow control applications. However, resolvent modes are frequency-dependent, which, although responsible for their success in identifying scale interactions in turbulence, complicates their use for control purposes. In this work, we seek orthogonal bases of forcing and response modes that are the most responsive and receptive, respectively, across all frequencies. We show that these frequency-independent bases of \emph{representative} resolvent modes are given by the eigenvectors of the observability and controllability Gramians of the system considering full state inputs and outputs. We present several numerical examples where we leverage these bases by building orthogonal or interpolatory projectors onto the dominant forcing and response subspaces. Gramian-based forcing modes are used to identify dynamically relevant disturbances, to place point sensors to measure disturbances, and to design actuators for feedforward control in the subcritical linearized Ginzburg--Landau equation. Gramian-based response modes are used to identify coherent structures and for point sensor placement aiming at state reconstruction in the turbulent flow in a minimal channel at $\mathrm{Re}_{\tau}=185$. The approach does not require data snapshots and relies only on knowledge of the steady or mean flow.
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      – TitleFull: From resolvent to Gramians: extracting forcing and response modes for control
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