1999
DOI: 10.1109/9.788545
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A simple solution to the optimal eigenvalue assignment problem

Abstract: The problem of the optimal eigenvalue assignment for multiinput linear systems is considered. It is proven that for an n-order system with m independent inputs, the problem is split into the following two sequential stages. Initially, the n 0 m eigenvalues are assigned using an n 0 m-order system. This assignment is not constrained to satisfy optimality criteria. Next, an m-order system is used to assign the remaining m eigenvalues in such a way that linear quadratic optimal criteria are simultaneously satisfi… Show more

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Cited by 18 publications
(6 citation statements)
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“…To demonstrate the proposed method of MOR, we will consider the dynamical model of a two-area power system presented and illustrated in [27]. The system is a seventh-order model with two inputs and two outputs.…”
Section: Simulation Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To demonstrate the proposed method of MOR, we will consider the dynamical model of a two-area power system presented and illustrated in [27]. The system is a seventh-order model with two inputs and two outputs.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…x =Âx +Bu (35) y =Ĉx +Du (36) where the transformed system matrices are: = P −1 A P,B = P −1 B,Ĉ = C P, andD = D. Notice that = P −1 A P is the left-hand side of Equation (27). In addition, is defined in Equation (29) as an upper triangular matrix which is forced to have the original system eigenvalues as its diagonal elements.…”
Section: Lmi-based System Transformationmentioning
confidence: 99%
“…This case is considered in many studies (e.g., see [22][23][24][25]). Let us formulate and prove two propositions that the basis for the approach proposed in this study.…”
Section: Partial Pole Placementmentioning
confidence: 97%
“…A two-area power system is considered in this example [34]. The system is a seventh-order model with two inputs and two outputs.…”
Section: Examplementioning
confidence: 99%