2003
DOI: 10.1016/s0005-1098(03)00030-x
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Accuracy-enhancing methods for balancing-related frequency-weighted model and controller reduction

Abstract: We consider the solution of the balancing-related frequency-weighted model and controller reduction problems using accuracy enhanced numerical algorithms. We propose ÿrst new stability-enforcing choices of the frequency-weighted grammians which can guarantee the stability of reduced models for two-sided frequency weights. Then we show that for the frequency-weighted controller reduction problems with standard stability and performance-enforcing frequency weights the computation of the frequency-weighted grammi… Show more

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Cited by 111 publications
(117 citation statements)
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“…Rational interpolation methods have been extended to bilinear [24,36,37,39,58,92,98,192] and quadratic-in-state systems [37,38,97,114]. Even though these methods have proven effective for a wide range of problem settings, they are most widely used in circuit theory, such as [23,44,90,184,195], e.g., to analyze and predict signal propagation and interference in electric circuits; in structural mechanics, such as [53,106,174,198,211], to study, e.g., vibration suppression in large structures or behavior of micro-electromechanical systems; and in (optimal) control and controller reduction, such as [11,21,126,185,215,231], e.g., in LQR/LQG control design.…”
Section: Applicability Of the Basis Computation Methodsmentioning
confidence: 99%
“…Rational interpolation methods have been extended to bilinear [24,36,37,39,58,92,98,192] and quadratic-in-state systems [37,38,97,114]. Even though these methods have proven effective for a wide range of problem settings, they are most widely used in circuit theory, such as [23,44,90,184,195], e.g., to analyze and predict signal propagation and interference in electric circuits; in structural mechanics, such as [53,106,174,198,211], to study, e.g., vibration suppression in large structures or behavior of micro-electromechanical systems; and in (optimal) control and controller reduction, such as [11,21,126,185,215,231], e.g., in LQR/LQG control design.…”
Section: Applicability Of the Basis Computation Methodsmentioning
confidence: 99%
“…Although our method is proposed for discrete-time systems, Tab. 1 compares the approximation errors ∥W (s)(K(s) − K r (s))V (s)∥ ∞ obtained using Enns [3] method, Wang et als [10] method, Varga and Andersons [5] method and our new method, both in s-plane and z -plane. For a practical closed loop control system, it is necessary to discretize the controller part in order to implement it in a digital hardware.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…In this way we consider the effect of controller disceretization on grammians (2-7) and (2)(3)(4)(5)(6)(7)(8). At first consider the s-plane to z -plane mapping with bilinear transformation…”
Section: )mentioning
confidence: 99%
See 1 more Smart Citation
“…The weighted model reduction problem is tackled most often using variants of frequency-weighted balanced truncation; see Varga and Anderson [2003], Anderson and Liu [2002], Schelfhout and De Moor [2002], Gugercin and Antoulas [2004], Enns [1984], Wang et al [2002], Lin and Chiu [1992], Wang et al [1999], Sreeram and Ghafoor [2005] and references therein. For approaches that seek to minimize a weighted-H 2 error, see Halevi [1992] and Spanos et al [1992].…”
Section: Weighted Model Reductionmentioning
confidence: 99%