LQG cheap control over SNR-limited lossy channels with delay

In this paper we study the effect of communication nonidealities on the control of unstable stochastic scalar linear systems. The communication protocol links the sensors to the actuators and should be studied by taking into account several limitations such as quantization errors, limited channel capacity, decoding/computational delays and packet loss. We restrict our analysis in the context of LQG cheap control subject to SNR limitations, packet loss, and delay and we derive their impact on optimal design for the controller parameters. In particular, we show that the stability of the closed loop system depends on a tradeoff among quantization, packet loss probability and delay. Through this analysis we are also able to recover, as special cases, several results already available in the literature that have treated packet loss, quantization error and delay separately.

[1]  Tamer Basar,et al.  Optimal control of LTI systems over unreliable communication links , 2006, Autom..

[2]  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.

[3]  Nicola Elia,et al.  Limitations of Linear Control Over Packet Drop Networks , 2011, IEEE Transactions on Automatic Control.

[4]  Subhrakanti Dey,et al.  Stability of Kalman filtering with Markovian packet losses , 2007, Autom..

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

[6]  Daniel E. Quevedo,et al.  Stability analysis of networked control systems subject to packet-dropouts and finite-level quantization , 2011, Syst. Control. Lett..

[7]  Luca Schenato,et al.  Optimal Estimation in Networked Control Systems Subject to Random Delay and Packet Drop , 2008, IEEE Transactions on Automatic Control.

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

[9]  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.

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

[11]  Emanuele Garone,et al.  LQG control with Markovian packet loss , 2013, 2013 European Control Conference (ECC).

[12]  Kunihisa Okano,et al.  Stabilization of uncertain systems with finite data rates and Markovian packet losses , 2013, 2013 European Control Conference (ECC).

[13]  Richard H. Middleton,et al.  Transient response of minimum variance control over a Gaussian communication channel , 2013, ECC.

[14]  Massimo Franceschetti,et al.  Stabilization Over Markov Feedback Channels: The General Case , 2013, IEEE Transactions on Automatic Control.

[15]  Andrea Zanella,et al.  LQG cheap control subject to packet loss and SNR limitations , 2013, 2013 European Control Conference (ECC).

[16]  Graham C. Goodwin,et al.  Control system design subject to SNR constraints , 2010, Autom..

[17]  S. Sahai,et al.  The necessity and sufficiency of anytime capacity for control over a noisy communication link , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[18]  Massimo Franceschetti,et al.  Stabilization over Markov feedback channels , 2011, IEEE Conference on Decision and Control and European Control Conference.

[19]  Richard M. Murray,et al.  Optimal LQG control across packet-dropping links , 2007, Syst. Control. Lett..

[20]  R. Murray,et al.  Optimal LQG Control Across a Packet-Dropping Link , 2004 .

[21]  A. Chiuso,et al.  LQG control over finite capacity channels: the role of data losses, delays and SNR limitations , 2013 .

[22]  Daniel E. Quevedo,et al.  Stability Analysis of Networked Control Systems Subjected to Packet-dropouts and Finite Level Quantization , 2010 .

[23]  Richard H. Middleton,et al.  Minimum Variance Control Over a Gaussian Communication Channel , 2008, IEEE Transactions on Automatic Control.

[24]  L. D. Col,et al.  Impact of a realistic transmission channel on the performance of control systems , 2012 .

[25]  Charles D. Schaper,et al.  Communications, Computation, Control, and Signal Processing: A Tribute to Thomas Kailath , 1997 .

[26]  W. L. Koning,et al.  Compensatability and optimal compensation of systems with white parameters , 1992 .

[27]  Alessandro Chiuso,et al.  Remote estimation subject to packet loss and quantization noise , 2013, 52nd IEEE Conference on Decision and Control.

[28]  Koji Tsumura,et al.  Tradeoffs between quantization and packet loss in networked control of linear systems , 2009, Autom..

[29]  Lihua Xie,et al.  Mean square stability for Kalman filtering with Markovian packet losses , 2011, Autom..

[30]  H. Vincent Poor,et al.  Channel Coding Rate in the Finite Blocklength Regime , 2010, IEEE Transactions on Information Theory.

[31]  Bruno Sinopoli,et al.  Foundations of Control and Estimation Over Lossy Networks , 2007, Proceedings of the IEEE.

[32]  Michael Athans,et al.  The Matrix Minimum Principle , 1967, Inf. Control..

[33]  Tamer Basar,et al.  Optimal control of dynamical systems over unreliable communication links , 2004 .

[34]  L. Schenato Kalman Filtering for networked control systems with random delay and packet loss , 2005 .