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International Journal of Control Vol. 80, No. 1, January 2007, 87101
 

Summary: International Journal of Control
Vol. 80, No. 1, January 2007, 87101
Static and dynamic quantization in model-based
networked control systems
L. A. MONTESTRUQUE*y and P. J. ANTSAKLISz
yEmNet, LLC; 12441 Beckley St., Granger, IN 46530, USA
zDepartment of Electrical Engineering, University of Notre Dame,
Notre Dame, IN 46556, USA
(Received 10 August 2005; in final form 21 July 2006)
In this paper the effects of quantization in an important class of networked control systems
called model-based networked control systems (MB-NCS) are considered. The MB-NCS
architecture uses an explicit model of the plant in the controller in order to reduce the network
traffic, while attempting to prevent excessive performance degradation. Sufficient stability
conditions for two types of static and a dynamic quantization schemes for MB-NCS are
derived. An important feature is that the stability conditions are explicitly expressed in terms
of the plant and controller dynamics, the error between the model and the plant parameters,
the transmission or update times, the quantization parameters, and a robustness measure of
the system to parameter uncertainty. This is important because it allows the design of the
controller and network parameters to achieve the desired goals. Examples are used throughout
to illustrate the main results.

  

Source: Antsaklis, Panos - Department of Electrical Engineering, University of Notre Dame

 

Collections: Engineering