This book studies control systems with limited feedback information. The focus is on two types of limitations on the feedback information, dropout and quantization. By dropout, we mean that the desired feedback measurement is missed. By quantization, we mean the feedback measurement is only described by a finite number of bits, which introduces ``measurement error''. We consider two dropout models, independent and identically distributed (i.i.d.) processes and Markov chains. Under i.i.d. dropouts, we provide a closed-form expression for the output's power spectral density, which can be used to greatly simplify system synthesis, such as design of the optimal dropout compensation. Under dropouts governed by a Markov chain, we provide a necessary and sufficient stability condition, and propose a method to compute performance measured by the output's power. For a quantized system, we derive the minimum constant bit rate to guarantee stability and propose a dynamic bit assignment policy(DBAP) to achieve such minimum bit rate. It also investigates the system performance under DBAP. The preliminary research confirms the superiority of DBAP against other quantization policies.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This book studies control systems with limited feedback information. The focus is on two types of limitations on the feedback information, dropout and quantization. By dropout, we mean that the desired feedback measurement is missed. By quantization, we mean the feedback measurement is only described by a finite number of bits, which introduces ``measurement error''. We consider two dropout models, independent and identically distributed (i.i.d.) processes and Markov chains. Under i.i.d. dropouts, we provide a closed-form expression for the output's power spectral density, which can be used to greatly simplify system synthesis, such as design of the optimal dropout compensation. Under dropouts governed by a Markov chain, we provide a necessary and sufficient stability condition, and propose a method to compute performance measured by the output's power. For a quantized system, we derive the minimum constant bit rate to guarantee stability and propose a dynamic bit assignment policy(DBAP) to achieve such minimum bit rate. It also investigates the system performance under DBAP. The preliminary research confirms the superiority of DBAP against other quantization policies.
Qiang Ling received the Ph.D. degree in electrical engineering from Univ. of Notre Dame in 2005. From 2005 to 2008, he worked as a research staff member in Seagate. He joined Univ. of Science and Technology of China as an associate professor in 2008. His research focuses on networked control system, signal processing, and wireless sensor network.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ling QiangQiang Ling received the Ph.D. degree in electrical engineeringnfrom Univ. of Notre Dame in 2005. From 2005 to 2008, he worked asna research staff member in Seagate. He joined Univ. of Sciencenand Technology of China as an a. N° de réf. du vendeur 4960229
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Taschenbuch. Etat : Neu. Control Systems with Limited Feedback Information | Systems Analysis and Methodology Development | Qiang Ling | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639130720 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 101644254
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book studies control systems with limitedfeedback information. The focus is on two types oflimitations on the feedback information, dropout andquantization. By dropout, we mean that the desiredfeedback measurement is missed. By quantization, wemean the feedback measurement is only described by afinite number of bits, which introduces ``measurementerror''. We consider two dropout models, independentand identically distributed (i.i.d.) processes andMarkov chains. Under i.i.d. dropouts, we provide aclosed-form expression for the output's powerspectral density, which can be used to greatlysimplify system synthesis, such as design of theoptimal dropout compensation. Under dropouts governedby a Markov chain, we provide a necessary andsufficient stability condition, and propose a methodto compute performance measured by the output'spower. For a quantized system, we derive the minimumconstant bit rate to guarantee stability and proposea dynamic bit assignment policy(DBAP) to achieve suchminimum bit rate. It also investigates the systemperformance under DBAP. The preliminary researchconfirms the superiority of DBAP against otherquantization policies. N° de réf. du vendeur 9783639130720
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Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA75836391307236
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