A majorization condition for MIMO stabilizability via MIMO transceivers with pure fading subchannels

This paper aims at characterizing a fundamental limitation on the information constraints required for multi-input networked stabilization. A MIMO communication system is deployed for information exchange between the controller and the plant. The communication system is modeled as a MIMO transceiver, which consists of three parts: an encoder, a MIMO channel consisting of parallel SISO subchannels, and a decoder. We focus on the pure fading subchannels in this paper while the case of pure AWGN subchannels has been discussed in our previous work. Inheriting the spirit of MIMO communication, the number of SISO subchannels in the transceiver is often greater than the number of control inputs to be transmitted. The subchannel capacities are assumed to be fixed a priori. With the encoder/decoder pair at hand, the controller designer gains an additional design freedom on top of the controller, leading to a stabilization problem via coding/control co-design. A necessary and sufficient condition is obtained for the solvability of this coding/control co-design problem given in terms of a majorization type relation. A numerical example is presented to illustrate our results.

[1]  Han Chunyan,et al.  Optimal filtering for networked systems with Markovian communication delays , 2012, Proceedings of the 31st Chinese Control Conference.

[2]  R. Jackson Inequalities , 2007, Algebra for Parents.

[3]  Lihua Xie,et al.  The sector bound approach to quantized feedback control , 2005, IEEE Transactions on Automatic Control.

[4]  W. Wonham Linear Multivariable Control: A Geometric Approach , 1974 .

[5]  Wei Chen,et al.  Stabilization of networked control systems with multirate sampling , 2013, Autom..

[6]  Zhong-Ping Jiang,et al.  A sector bound approach to feedback control of nonlinear systems with state quantization , 2012, Autom..

[7]  J. Baillieul Feedback coding for information-based control: operating near the data-rate limit , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[8]  Huijun Gao,et al.  A new approach to quantized feedback control systems , 2008, Autom..

[9]  Nuno C. Martins,et al.  Remote State Estimation With Communication Costs for First-Order LTI Systems , 2011, IEEE Transactions on Automatic Control.

[10]  Nicola Elia,et al.  Remote stabilization over fading channels , 2005, Syst. Control. Lett..

[11]  Richard H. Middleton,et al.  Stabilization Over Power-Constrained Parallel Gaussian Channels , 2011, IEEE Transactions on Automatic Control.

[12]  Wei Chen,et al.  Stabilization of Networked Multi-Input Systems With Channel Resource Allocation , 2013, IEEE Transactions on Automatic Control.

[13]  Nan Xiao,et al.  Feedback Stabilization of Discrete-Time Networked Systems Over Fading Channels , 2012, IEEE Transactions on Automatic Control.

[14]  Peter Lancaster,et al.  The theory of matrices , 1969 .

[15]  Anja Walter,et al.  Introduction To Stochastic Calculus With Applications , 2016 .

[16]  Jie Chen,et al.  On stabilizability of MIMO systems over parallel noisy channels , 2014, 53rd IEEE Conference on Decision and Control.

[17]  F. R. Gantmakher The Theory of Matrices , 1984 .

[18]  Michael Heymann On the input and output reducibility of multivariable linear systems , 1970 .

[19]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[20]  Wei Chen,et al.  MIMO control using MIMO communication: A Majorization condition for networked stabilizability , 2015, 2015 American Control Conference (ACC).

[21]  Nicola Elia,et al.  Stabilization of linear systems with limited information , 2001, IEEE Trans. Autom. Control..

[22]  Sekhar Tatikonda,et al.  Control under communication constraints , 2004, IEEE Transactions on Automatic Control.

[23]  I. Olkin,et al.  Inequalities: Theory of Majorization and Its Applications , 1980 .

[24]  Richard H. Middleton,et al.  Feedback stabilization over signal-to-noise ratio constrained channels , 2007, Proceedings of the 2004 American Control Conference.