Adaptive Delta-modulation Coding for Networked Controlled Systems

This work investigates the closed-loop properties of the differential coding scheme known as delta-modulation (Delta-M) when used in feedback loops within the context of linear systems controlled through some communication network. Our main contribution is to propose and adaptive law for parameter Delta, the resolution of the differential state encoder. The adaptation law is defined exclusively in terms of information available at ends of the communication channel, using only two past samples. With minimal implementation and memory usage, global asymptotic stability of the networked controlled system is achieved for a class of unstable plants.

[1]  Daniel Liberzon,et al.  Quantized feedback stabilization of linear systems , 2000, IEEE Trans. Autom. Control..

[2]  Daniel Liberzon,et al.  On stabilization of linear systems with limited information , 2003, IEEE Trans. Autom. Control..

[3]  J. Hespanha,et al.  Towards the Control of Linear Systems with Minimum Bit-Rate , 2002 .

[4]  M. Lemmon,et al.  Control system performance under dynamic quantization: the scalar case , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[5]  John Baillieul,et al.  Robust quantization for digital finite communication bandwidth (DFCB) control , 2004, IEEE Transactions on Automatic Control.

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

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

[8]  H. Ishii,et al.  Remote control of LTI systems over networks with state quantization , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[9]  C. Canudas-de-Wit,et al.  Differential coding in networked controlled linear systems , 2006, 2006 American Control Conference.

[10]  John S. Baras,et al.  Numerical study on joint quantization and control under block-coding , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[11]  John G. Proakis,et al.  Digital Communications , 1983 .