NDLI: Quantized state feedback control for multiple-input systems subject to signal-to-noise ratio constraints

Content Provider	IEEE Xplore Digital Library
Author	Yu Feng Xiang Chen Guoxiang Gu
Copyright Year	2013
Description	Author affiliation: Dept. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou, China (Yu Feng) \|\| Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA (Guoxiang Gu) \|\| Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON, Canada (Xiang Chen)
Abstract	This paper deals with the problem of state feedback stabilization for multiple-input discrete-time systems over communication channels, where both logarithmic quantization errors and white noises are included. The logarithmic quantizer is characterized by a received signal-to-error ratio (R-SER) model; while the white noises are modelled by additive white Gaussian noise (AWGN) channels where signal-to-noise ratio constraints are imposed. The underlying channel capacity is defined through a mixed deterministic stochastic way. The desired control law is assumed to stabilize the system with the presence of quantized errors and to satisfy some predetermined power level, simultaneously. By assuming that the overall channel capacity can be allocated among the communication channels, a solvability condition is derived in terms of Mahler measure of the plant and the desired feedback gain is given by solving some algebraic Riccati equations. An example is included to illustrate the current results.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	7229
Ending Page	7234
File Size	630642
Page Count	6
File Format	PDF
ISBN	9781467357142
ISSN	07431546
e-ISBN	9781467357173
DOI	10.1109/CDC.2013.6761036
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-10
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Channel capacity Signal to noise ratio Quantization (signal) AWGN channels White noise State feedback
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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