Improving control performance across AWGN channels using a relay node†

Consider an unstable linear time-invariant system in which the sensor transmits information to a controller across an additive white Gaussian noise channel. The designer can optionally utilise a relay node to assist the controller; however, the total transmission power consumed by the sensor and the relay node is constant. We consider two topologies: (1) a Gaussian relay channel and (2) a cascade of two Gaussian point-to-point channels. We propose coding schemes and present sufficient conditions for the stabilisability of the plant through such schemes. The analysis suggests that it is useful to utilise a relay node, even if the total transmission power remains the same.

[1]  Nicola Elia,et al.  When bode meets shannon: control-oriented feedback communication schemes , 2004, IEEE Transactions on Automatic Control.

[2]  Lawrence H. Ozarow,et al.  The capacity of the white Gaussian multiple access channel with feedback , 1984, IEEE Trans. Inf. Theory.

[3]  Lawrence H. Ozarow,et al.  An achievable region and outer bound for the Gaussian broadcast channel with feedback , 1984, IEEE Trans. Inf. Theory.

[4]  R. Evans,et al.  Mean square stabilisability of stochastic linear systems with data rate constraints , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[5]  Munther A. Dahleh,et al.  Feedback Control in the Presence of Noisy Channels: “Bode-Like” Fundamental Limitations of Performance , 2008, IEEE Transactions on Automatic Control.

[6]  Special Issue on Networked Control Systems , .

[7]  H. Kushner,et al.  Stochastic Approximation and Recursive Algorithms and Applications , 2003 .

[8]  Anant Sahai,et al.  The Necessity and Sufficiency of Anytime Capacity for Stabilization of a Linear System Over a Noisy Communication Link—Part I: Scalar Systems , 2006, IEEE Transactions on Information Theory.

[9]  J. Nicholas Laneman,et al.  Sufficient conditions for stabilizability over Gaussian relay and cascade channels , 2010, 49th IEEE Conference on Decision and Control (CDC).

[10]  J. Pieter M. Schalkwijk,et al.  A coding scheme for additive noise channels with feedback-II: Band-limited signals , 1966, IEEE Trans. Inf. Theory.

[11]  Panos J. Antsaklis,et al.  Guest Editorial Special Issue on Networked Control Systems , 2004, IEEE Trans. Autom. Control..

[12]  V. Borkar Stochastic Approximation: A Dynamical Systems Viewpoint , 2008 .

[13]  Thomas Kailath,et al.  A coding scheme for additive noise channels with feedback-I: No bandwidth constraint , 1966, IEEE Trans. Inf. Theory.

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

[15]  Tobias J. Oechtering,et al.  Sufficient conditions for closed-loop control over multiple-access and broadcast channels , 2010, 49th IEEE Conference on Decision and Control (CDC).

[16]  W. Marsden I and J , 2012 .

[17]  J. Nicholas Laneman,et al.  Cooperative communication with feedback via stochastic approximation , 2009, 2009 IEEE Information Theory Workshop.

[18]  Asok Ray,et al.  An observer-based compensator for distributed delays , 1990, Autom..

[19]  Sekhar Tatikonda,et al.  Control over noisy channels , 2004, IEEE Transactions on Automatic Control.

[20]  Richard M. Murray,et al.  Data Transmission Over Networks for Estimation and Control , 2009, IEEE Transactions on Automatic Control.

[21]  Robin J. Evans,et al.  Feedback Control Under Data Rate Constraints: An Overview , 2007, Proceedings of the IEEE.

[22]  R.H. Middleton,et al.  Feedback Stabilization Over Signal-to-Noise Ratio Constrained Channels , 2007, IEEE Transactions on Automatic Control.