Research Paper (postgraduate) from the year 2015 in the subject Engineering - Computer Engineering, Flinders University (School of Computer Science, Engineering and Mathematics, Faculty of Science and Engineering), course: Master of engineering by research, language: English, abstract: In this paper active vibration control (AVC) methodology is presented by the author using self-sensing magnetic transducers for a flexible plate structure. H_∞ Optimized positive position feedback (HOPPF) controller is tested and verified for multi-modes multi-input-multi-output (MIMO) vibration suppression through simulation and experiment implement. Genetic algorithm (GA) searching is applied to obtain the optimal parameters of the controllers according to the minimization criterion solution to the H_∞ norm of the whole closed-loop system.
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Research Paper (postgraduate) from the year 2015 in the subject Engineering - Computer Engineering, Flinders University (School of Computer Science, Engineering and Mathematics, Faculty of Science and Engineering), course: Master of engineering by research, language: English, abstract: In this paper active vibration control (AVC) methodology is presented by the author using self-sensing magnetic transducers for a flexible plate structure. H_¿ Optimized positive position feedback (HOPPF) controller is tested and verified for multi-modes multi-input-multi-output (MIMO) vibration suppression through simulation and experiment implement. Genetic algorithm (GA) searching is applied to obtain the optimal parameters of the controllers according to the minimization criterion solution to the H_¿ norm of the whole closed-loop system.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Research Paper (postgraduate) from the year 2015 in the subject Engineering - Computer Engineering, Flinders University (School of Computer Science, Engineering and Mathematics, Faculty of Science and Engineering), course: Master of engineering by research, language: English, abstract: In this paper active vibration control (AVC) methodology is presented by the author using self-sensing magnetic transducers for a flexible plate structure. H_ Optimized positive position feedback (HOPPF) controller is tested and verified for multi-modes multi-input-multi-output (MIMO) vibration suppression through simulation and experiment implement. Genetic algorithm (GA) searching is applied to obtain the optimal parameters of the controllers according to the minimization criterion solution to the H_ norm of the whole closed-loop system. 24 pp. Englisch. N° de réf. du vendeur 9783668229525
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Research Paper (postgraduate) from the year 2015 in the subject Engineering - Computer Engineering, Flinders University (School of Computer Science, Engineering and Mathematics, Faculty of Science and Engineering), course: Master of engineering by research, language: English, abstract: In this paper active vibration control (AVC) methodology is presented by the author using self-sensing magnetic transducers for a flexible plate structure. H_ Optimized positive position feedback (HOPPF) controller is tested and verified for multi-modes multi-input-multi-output (MIMO) vibration suppression through simulation and experiment implement. Genetic algorithm (GA) searching is applied to obtain the optimal parameters of the controllers according to the minimization criterion solution to the H_ norm of the whole closed-loop system. N° de réf. du vendeur 9783668229525
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Taschenbuch. Etat : Neu. Active Vibration Control Of Plate Structure Using Electromagnetic Transducer Based On H_¿ Optimized Positive Position Feedback | Zhonghui Wu | Taschenbuch | 24 S. | Englisch | 2016 | GRIN Verlag | EAN 9783668229525 | Verantwortliche Person für die EU: GRIN Publishing GmbH, Waltherstr. 23, 80337 München, info[at]grin[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 103474216
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