Iterative Data-Driven Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation
This paper aims to develop a new data-driven H ∞ norm estimation algorithm for model-error modeling of multivariable systems. An iterative approach is presented that requires significantly a fewer prior assumptions on the true system, hence it provides stronger guarantees in a robust control design....
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| Veröffentlicht in: | IEEE transactions on control systems technology 2014-11, Vol.22 (6), p.2247-2260 |
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| container_end_page | 2260 |
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| container_issue | 6 |
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| container_title | IEEE transactions on control systems technology |
| container_volume | 22 |
| creator | Oomen, Tom van der Maas, Rick Rojas, Cristian R. Hjalmarsson, Hakan |
| description | This paper aims to develop a new data-driven H ∞ norm estimation algorithm for model-error modeling of multivariable systems. An iterative approach is presented that requires significantly a fewer prior assumptions on the true system, hence it provides stronger guarantees in a robust control design. The iterative estimation algorithm is embedded in a robust control design framework with a judiciously selected uncertainty structure to facilitate high control performance. The approach is experimentally implemented on an industrial active vibration isolation system. |
| doi_str_mv | 10.1109/TCST.2014.2303047 |
| format | Article |
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An iterative approach is presented that requires significantly a fewer prior assumptions on the true system, hence it provides stronger guarantees in a robust control design. The iterative estimation algorithm is embedded in a robust control design framework with a judiciously selected uncertainty structure to facilitate high control performance. The approach is experimentally implemented on an industrial active vibration isolation system.</description><identifier>ISSN: 1063-6536</identifier><identifier>EISSN: 1558-0865</identifier><identifier>DOI: 10.1109/TCST.2014.2303047</identifier><identifier>CODEN: IETTE2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Active control ; Active vibration isolation system ; Algorithms ; data-driven control ; data-driven modeling ; Design engineering ; Estimation ; Iterative methods ; MIMO ; model-free control ; Multivariable ; multivariable control ; Norms ; Robust control ; System identification ; system identification for control ; Uncertain systems ; Uncertainty ; uncertainty estimation ; Vibration ; Vibrations</subject><ispartof>IEEE transactions on control systems technology, 2014-11, Vol.22 (6), p.2247-2260</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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An iterative approach is presented that requires significantly a fewer prior assumptions on the true system, hence it provides stronger guarantees in a robust control design. The iterative estimation algorithm is embedded in a robust control design framework with a judiciously selected uncertainty structure to facilitate high control performance. The approach is experimentally implemented on an industrial active vibration isolation system.</description><subject>Active control</subject><subject>Active vibration isolation system</subject><subject>Algorithms</subject><subject>data-driven control</subject><subject>data-driven modeling</subject><subject>Design engineering</subject><subject>Estimation</subject><subject>Iterative methods</subject><subject>MIMO</subject><subject>model-free control</subject><subject>Multivariable</subject><subject>multivariable control</subject><subject>Norms</subject><subject>Robust control</subject><subject>System identification</subject><subject>system identification for control</subject><subject>Uncertain systems</subject><subject>Uncertainty</subject><subject>uncertainty estimation</subject><subject>Vibration</subject><subject>Vibrations</subject><issn>1063-6536</issn><issn>1558-0865</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpd0E9LwzAYBvAiCs7pBxAvAS9eOvOnSdPj2KYOpoIreixplmBG29QkFfbtjasnT-8D74-HlzdJrhGcIQSL-3KxLWcYomyGCSQwy0-SCaKUp5AzehozZCRllLDz5ML7PYyS4nyShHVQTgTzrcBSBJEuXYwdeLGuBSsfTBt3tgNWg-ehiUw4I-pGge3BB9V68GHCJ5j3fWPkKIMFb7YefABzeax9N7UbV2tvm2O6TM60aLy6-pvTpHxYlYundPP6uF7MN6nhiKca50UhOKc7LpVmbKcRoVTnjEpKCSdIQSFrlildS4hZAYXIWF1ryhSTWBEyTe7G2t7Zr0H5ULXGS9U0olN28BViuCCUUcYjvf1H93ZwXTwuKpT9tkMc1c2ojFKq6l38jjtULM8gh5z8AM2pdZ8</recordid><startdate>201411</startdate><enddate>201411</enddate><creator>Oomen, Tom</creator><creator>van der Maas, Rick</creator><creator>Rojas, Cristian R.</creator><creator>Hjalmarsson, Hakan</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| ispartof | IEEE transactions on control systems technology, 2014-11, Vol.22 (6), p.2247-2260 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Active control Active vibration isolation system Algorithms data-driven control data-driven modeling Design engineering Estimation Iterative methods MIMO model-free control Multivariable multivariable control Norms Robust control System identification system identification for control Uncertain systems Uncertainty uncertainty estimation Vibration Vibrations |
| title | Iterative Data-Driven Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation |
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