Anisotropic e‐optimal model reduction for linear discrete time‐invariant system

Anisotropic e‐optimal model reduction for linear discrete time‐invariant system

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Article ID: iaor20111330
Volume: 71
Issue: 12
Start Page Number: 2573
End Page Number: 2594
Publication Date: Dec 2010
Journal: Automation and Remote Control
Authors:
Keywords: approximation
Abstract:

We consider an ϵ‐optimal model reduction problem for a linear discrete time‐invariant system, where the anisotropic norm of reduction error transfer function is used as a performance criterion. For solving the main problem, we state and solve an auxiliary problem of H 2 ϵ‐optimal reduction of a weighted linear discrete time system. A sufficient optimality condition defining a solution to the anisotropic ϵ‐optimal model reduction problem has the form of a system of cross‐coupled nonlinear matrix algebraic equations including a Riccati equation, four Lyapunov equations, and five special‐type nonlinear equations. The proposed approach to solving the problem ensures stability of the reduced model without any additional technical assumptions. The reduced‐order model approximates the steady‐state behavior of the full‐order system.

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