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A hybrid feedback for a benchmark problem of idle speed control
Author(s) -
Balluchi A.,
D'Apice C.,
Gaeta M.,
Piccoli B.,
Sangiovanni Vincentelli A. L.,
Zadarnowska K.
Publication year - 2009
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.1445
Subject(s) - benchmark (surveying) , fuel efficiency , idle , control (management) , computer science , automotive industry , focus (optics) , simple (philosophy) , hybrid system , automotive engineering , engineering , artificial intelligence , philosophy , physics , geodesy , optics , epistemology , aerospace engineering , geography , operating system , machine learning
The ever increasing demands on passengers' comfort, safety, emissions and fuel consumption imposed by car manufacturers and regulations call for advanced techniques and the use of cycle‐accurate models in automotive control. In this paper, we focus on such approach to the idle speed control. It is natural to resort to hybrid methodologies, because of the rich combination of time and event‐based behaviors exhibited by a controlled engine. A hybrid benchmark problem is considered and addressed first by analyzing the equilibria of the system and then testing a simple hybrid feedback strategy. Copyright © 2009 John Wiley & Sons, Ltd.