Proposes piecewise balanced reduction (PBR) for switched linear systems with a new error bound that accounts for numerical inaccuracies in generalized Lyapunov equation solutions and inexact LMI satisfaction.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Finite-dimensional receding horizon control achieves local exponential stabilization of 2D Navier-Stokes equations to reference trajectories, with a POD-based reduced-order model preserving performance at lower cost.
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Model Reduction for Switched Linear Systems via Generalized Lyapunov Equations
Proposes piecewise balanced reduction (PBR) for switched linear systems with a new error bound that accounts for numerical inaccuracies in generalized Lyapunov equation solutions and inexact LMI satisfaction.
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Finite-Dimensional MOR-Based RHC for Steering 2D Navier-Stokes Equations to Desired Trajectories
Finite-dimensional receding horizon control achieves local exponential stabilization of 2D Navier-Stokes equations to reference trajectories, with a POD-based reduced-order model preserving performance at lower cost.