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.
Product Identifiers
Publisher
Vdm Verlag
ISBN-13
9783639130720
eBay Product ID (ePID)
13049044452
Product Key Features
Author
Qiang Ling
Publication Name
Control Systems with Limited Feedback Information
Format
Paperback
Language
English
Subject
Engineering & Technology
Publication Year
2009
Type
Textbook
Number of Pages
164 Pages
Dimensions
Item Height
229mm
Item Width
152mm
Item Weight
249g
Additional Product Features
Title_Author
Qiang Ling
Country/Region of Manufacture
Germany
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