DocumentCode :
29522
Title :
Model-Based Event-Triggered Control for Systems With Quantization and Time-Varying Network Delays
Author :
Garcia, Eloy ; Antsaklis, P.J.
Author_Institution :
Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA
Volume :
58
Issue :
2
fYear :
2013
fDate :
Feb. 2013
Firstpage :
422
Lastpage :
434
Abstract :
This paper combines two important control techniques for reducing communication traffic in control networks, namely, model-based networked control systems (MB-NCS) and event-triggered control. The resulting framework is used for stabilization of uncertain dynamical systems and is extended to systems subject to quantization and time-varying network delays. The use of a model of the plant in the controller node not only generalizes the zero-order-hold (ZOH) implementation in traditional event-triggered control schemes but it also provides stability thresholds that are robust to model uncertainties. The effects of quantized measurements are especially important in the selection of stabilizing thresholds. We are able to design error events based on the quantized variables that yield asymptotic stability compared to similar results in event-triggered control that consider nonquantized measurements which, in general, are not possible to use in digital computations. With respect to MB-NCS, the stability conditions presented here do not need explicit knowledge of the plant parameters as in previous work but are given only in terms of the parameters of the nominal model and some bounds in the model uncertainties. We consider the joint adverse effects of quantization and time delays and emphasize the expected tradeoff between the selection of quantization parameters and the admissible network induced delays.
Keywords :
asymptotic stability; delays; networked control systems; nonlinear dynamical systems; time-varying systems; uncertain systems; MB-NCS; ZOH implementation; admissible network induced delays; asymptotic stability; communication traffic; error events; model-based event-triggered control; model-based networked control systems; quantization; quantization parameters; quantized variables; stability conditions; stability thresholds; stabilization; time-varying network delays; uncertain dynamical systems; zero-order-hold implementation; Asymptotic stability; Computational modeling; Control systems; Delay; Quantization; Stability analysis; Uncertainty; Delay systems; event-triggering; networked control systems; quantization;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2012.2211411
Filename :
6257423
Link To Document :
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