Control Systems with Limited Feedback Information: Systems Analysis and Methodology Development

 
9783639130720: Control Systems with Limited Feedback Information: Systems Analysis and Methodology Development

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.

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About the Author:

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.

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Qiang Ling
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Book Description Book Condition: New. Publisher/Verlag: VDM Verlag Dr. Müller | Systems Analysis and Methodology Development | 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. | Format: Paperback | Language/Sprache: english | 232 gr | 164 pp. Bookseller Inventory # K9783639130720

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Book Description VDM Verlag Mrz 2009, 2009. Taschenbuch. Book Condition: Neu. Neuware - 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. 164 pp. Englisch. Bookseller Inventory # 9783639130720

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Book Description VDM Verlag Mrz 2009, 2009. Taschenbuch. Book Condition: Neu. Neuware - 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. 164 pp. Englisch. Bookseller Inventory # 9783639130720

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Book Description VDM Verlag. Paperback. Book Condition: New. Paperback. 164 pages. Dimensions: 8.7in. x 5.9in. x 0.4in.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 outputs 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 outputs 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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9783639130720

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Book Description VDM Verlag, Germany, 2009. Paperback. Book Condition: New. Language: English . Brand New Book. 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. Bookseller Inventory # KNV9783639130720

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