Adaptive-Smith Predictor for Controlling an Automotive Electronic Throttle over Network


The paper presents a control strategy for an automotive electronic throttle, a device used to regulate the power produced by spark-ignition engines. Controlling the electronic throttle body is a difficult task because the throttle accounts strong nonlinearities. The difficulty increases when the control works through communication networks subject to random delay. In this paper, we revisit the Smith-predictor control, and show how to adapt it for controlling the electronic throttle body over a delay-driven network. Experiments were carried out in a laboratory, and the corresponding data indicate the benefits of our approach for applications.


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How to Cite
CARUNTU, Constantin et al. Adaptive-Smith Predictor for Controlling an Automotive Electronic Throttle over Network. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 13, n. 2, p. 151-161, apr. 2018. ISSN 1841-9844. Available at: <>. Date accessed: 19 jan. 2021. doi:


Adaptive-Smith predictor, electronic throttle control, networked control systems, switching control