A Multichannel IOS Small Gain Theorem for Systems With Multiple Time-Varying Communication Delays

A version of the input-to-output stability (IOS) small gain theorem is derived for interconnections where the subsystems communicate asynchronously over multiple channels, and the communication is subject to multiple time-varying possibly unbounded communication delays. It is shown that a ldquomulti-dimensionalrdquo version of the small gain condition guarantees the stability of the interconnection of IOS subsystems under certain mild assumptions imposed on communication process. The fulfillment of these assumptions does not depend on characteristics of the communication channels, but can always be guaranteed by implementation of certain features of the underlying communication protocol. This result is applicable to a wide range of dynamical systems whose parts communicate over networks, such as Internet-based teleoperators.

[1]  Zhong-Ping Jiang,et al.  A small-gain control method for nonlinear cascaded systems with dynamic uncertainties , 1997, IEEE Trans. Autom. Control..

[2]  Peter Xiaoping Liu,et al.  A control scheme for stable force-reflecting teleoperation over IP networks , 2006, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Zhong-Ping Jiang Control of interconnected nonlinear systems: A small-gain viewpoint , 2003 .

[4]  Peter Xiaoping Liu,et al.  Force reflection algorithm for improved transparency in bilateral teleoperation with communication delay , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[5]  John Baillieul,et al.  Handbook of Networked and Embedded Control Systems , 2005, Handbook of Networked and Embedded Control Systems.

[6]  Jean-Jacques E. Slotine,et al.  Towards force-reflecting teleoperation over the Internet , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[7]  A. R. Teelb,et al.  Formulas relating KL stability estimates of discrete-time and sampled-data nonlinear systems , 1999 .

[8]  I. Sandberg Some results on the theory of physical systems governed by nonlinear functional equations , 1965 .

[9]  D.L. Elliott,et al.  Feedback systems: Input-output properties , 1976, Proceedings of the IEEE.

[10]  Roberto Oboe Force-reflecting teleoperation over the Internet: the JBIT project , 2003 .

[11]  Dragan Nesic,et al.  Sampled-data control of nonlinear systems: An overview of recent results , 2001 .

[12]  Eduardo Sontag Input to State Stability: Basic Concepts and Results , 2008 .

[13]  G. Zames On the input-output stability of time-varying nonlinear feedback systems Part one: Conditions derived using concepts of loop gain, conicity, and positivity , 1966 .

[14]  Eduardo Sontag,et al.  Formulas relating KL stability estimates of discrete-time and sampled-data nonlinear systems , 1999 .

[15]  A. Teel Connections between Razumikhin-type theorems and the ISS nonlinear small gain theorem , 1998, IEEE Trans. Autom. Control..

[16]  A. Teel A nonlinear small gain theorem for the analysis of control systems with saturation , 1996, IEEE Trans. Autom. Control..

[17]  J. Hale Theory of Functional Differential Equations , 1977 .

[18]  Zhong-Ping Jiang,et al.  Small-gain theorem for ISS systems and applications , 1994, Math. Control. Signals Syst..

[19]  Daniel Liberzon,et al.  Quantization, time delays, and nonlinear stabilization , 2006, IEEE Transactions on Automatic Control.

[20]  Eduardo D. Sontag,et al.  Lyapunov Characterizations of Input to Output Stability , 2000, SIAM J. Control. Optim..

[21]  Eduardo Sontag,et al.  Global attractivity, I/O monotone small-gain theorems, and biological delay systems , 2005 .

[22]  Ilia G. Polushin,et al.  Control schemes for stable teleoperation with communication delay based on IOS small gain theorem , 2006, Autom..

[23]  P.X. Liu,et al.  A Force-Reflection Algorithm for Improved Transparency in Bilateral Teleoperation With Communication Delay , 2007, IEEE/ASME Transactions on Mechatronics.

[24]  Eduardo D. Sontag,et al.  The ISS philosophy as a unifying framework for stability-like behavior , 2001 .

[25]  Eduardo Sontag Smooth stabilization implies coprime factorization , 1989, IEEE Transactions on Automatic Control.

[26]  Eduardo Sontag,et al.  Notions of input to output stability , 1999, Systems & Control Letters.