A Packet-Switching Strategy for Uncertain Nonlinear Networked Control Systems

This paper addresses the problem of stabilizing uncertain nonlinear plants over a shared limited-bandwidth packet-switching network for which both the time between consecutive accesses to each node (MATI) and the transmission and processing delays (MAD) for measurements and control packets are bounded. While conventional control loops are designed to work with circuit-switching networks, where dedicated communication channels provide almost constant bit rate and delay, many networks, such as Ethernet, organize data transmission in packets, carrying larger amount of information at less predictable rates. To avoid the bandwidth waste due to the relatively large overhead inherent to packet transmission, we exploit the packet payload to carry longer control sequences. To this aim we adopt a model-based approach to remotely compute a predictive control signal on a suitable time horizon, which leads to effectively reducing the bandwidth required to guarantee stability. Communications are assumed to be ruled by a rather general protocol model, which encompasses many protocols used in practice. As a distinct improvement over the state of the art, our result is shown to be robust with respect to sector-bounded uncertainties in the plant model. Namely, an explicit bound on the combined effects of MATI and MAD is provided as a function of the basin of attraction and the model accuracy.

[1]  Peter Xiaoping Liu,et al.  On the Model-Based Approach to Nonlinear Networked Control Systems , 2007, 2007 American Control Conference.

[2]  Dragan Nesic,et al.  Input-output stability properties of networked control systems , 2004, IEEE Transactions on Automatic Control.

[3]  James Moyne,et al.  Performance evaluation of control networks: Ethernet, ControlNet, and DeviceNet , 2001 .

[4]  Antonio Bicchi,et al.  Delay compensation in packet-switching networked controlled systems , 2008, 2008 47th IEEE Conference on Decision and Control.

[5]  Hong Ye,et al.  Scheduling of networked control systems , 2001 .

[6]  Thomas Parisini,et al.  Networked predictive control of constrained nonlinear systems: Recursive feasibility and Input-to-State Stability analysis , 2009, 2009 American Control Conference.

[7]  Nathan van de Wouw,et al.  Networked Control Systems With Communication Constraints: Tradeoffs Between Transmission Intervals, Delays and Performance , 2010, IEEE Transactions on Automatic Control.

[8]  Dong Yue,et al.  Network-based robust H ∞ control of systemswith uncertainty , 2005 .

[9]  Joao P. Hespanha,et al.  Stability of networked control systems with variable sampling and delay , 2006 .

[10]  Antonio Bicchi,et al.  Exploiting packet size in uncertain nonlinear networked control systems , 2012, Autom..

[11]  D.E. Quevedo,et al.  Packetized Predictive Control over Erasure Channels , 2007, 2007 American Control Conference.

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

[13]  Wei Zhang,et al.  Stability of networked control systems: explicit analysis of delay , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

[14]  Richard H. Middleton,et al.  Networked control design for linear systems , 2003, Autom..

[15]  E. Fridman,et al.  Exponential Stabilization of Delay Neutral Systems under Sampled-Data Control , 2005, Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005..

[16]  Panos J. Antsaklis,et al.  Stability of model-based networked control systems with time-varying transmission times , 2004, IEEE Transactions on Automatic Control.

[17]  Robin J. Evans,et al.  Stabilizability of Stochastic Linear Systems with Finite Feedback Data Rates , 2004, SIAM J. Control. Optim..

[18]  João Pedro Hespanha,et al.  A Survey of Recent Results in Networked Control Systems , 2007, Proceedings of the IEEE.

[19]  Peter F. Al-Hokayem Stability Analysis of Networked Control Systems , 2003 .