2002
DOI: 10.3182/20020721-6-es-1901.00317
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A Multiobjective ℋ∞ Control Problem: Model Matching and Disturbance Rejection

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Cited by 4 publications
(5 citation statements)
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“…Note that Problem 1 is an infinite-dimensional optimization to find the solution as a transfer function, and therefore it cannot be solved effectively. In this subsection, the feedforward control problem is equivalently reduced to the synthesis of a feedback H ∞ controller [15], [16], which is solvable in a computationally tractable way [18].…”
Section: Problem Reduction To H ∞ Controller Designmentioning
confidence: 99%
See 1 more Smart Citation
“…Note that Problem 1 is an infinite-dimensional optimization to find the solution as a transfer function, and therefore it cannot be solved effectively. In this subsection, the feedforward control problem is equivalently reduced to the synthesis of a feedback H ∞ controller [15], [16], which is solvable in a computationally tractable way [18].…”
Section: Problem Reduction To H ∞ Controller Designmentioning
confidence: 99%
“…In this paper, instead of series connection of the model of the desired sound field and the inversion of the reproduced sound field, we design a model matching controller in a lump. The design is reduced to output tracking control in the formulation of H ∞ control [15], [16]. In the method, low gain specification is imposed on the controller, which is important for improving the robustness against the uncertainties in the sound field.…”
Section: Introductionmentioning
confidence: 99%
“…Gahinet & Apkarian (1994) re-derived the solution of the standard H ∞ OCP given by DGKF in the framework of LMI. In Gören & Akın (2002), an LMI-based solution of the unilateral H ∞ MMP is presented; also a solution of a multi-objective H ∞ control problem is obtained using the results given in Gahinet & Apkarian (1994). In all these studies on the standard H ∞ MMP, the controller structures that could be used in feedback configuration have not been considered in the formulation of the problem.…”
Section: R(s)∈rh ∞ That Further Minimizes the H ∞ Norm Of T M (S)-tmentioning
confidence: 99%
“…In all these studies on the standard H ∞ MMP, the controller structures that could be used in feedback configuration have not been considered in the formulation of the problem. However, one can say that the controller R(s) with property of stable and causal rational matrix, which is found in the form of a pre-compensator as a solution of the unilateral H ∞ MMP, can generally be established by dynamic state feedback (Kucera, 1992 andGören &Akın, 2002).…”
Section: R(s)∈rh ∞ That Further Minimizes the H ∞ Norm Of T M (S)-tmentioning
confidence: 99%
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