Title :
Networked feedback stabilization over signal-to-noise ratio constrained channels
Author :
Kun Xu ; Fei Liu ; Guoxiang Gu
Author_Institution :
Key Lab. of Adv. Process Control for Light Ind. (Minist. of Educ.), Jiangnan Univ., Wuxi, China
Abstract :
This paper studies feedback stabilization of a linear time-invariant (LTI) discrete-time system with information constraints in the input channels, described by additive white Gaussian noise (AWGN). A signal-to-noise ratio (SNR) constraint model is adopted in studying its communication capacity limits. Upper and lower bounds of the least capacity are derived for feedback stabilization in both state feedback and output feedback control of multi-input/multi-output (MIMO) systems.
Keywords :
AWGN; MIMO systems; channel capacity; discrete time systems; networked control systems; state feedback; telecommunication control; AWGN; LTI; MIMO system; SNR constraint model; additive white Gaussian noise; communication capacity limit; discrete-time system; information constraint; linear time-invariant system; multiinput-multioutput system; networked feedback stabilization; output feedback control; signal-to-noise ratio constrained channel; state feedback control; AWGN channels; Channel capacity; Noise measurement; Output feedback; Signal to noise ratio; State feedback; Mahler measure; Networked control system; networked stabilization; signal-to-noise ratio; topological entropy;
Conference_Titel :
Information and Automation (ICIA), 2013 IEEE International Conference on
Conference_Location :
Yinchuan
DOI :
10.1109/ICInfA.2013.6720278
