Premium
Output feedback of Markov jump linear systems with no mode observation: An automotive throttle application
Author(s) -
Vargas Alessandro N.,
Acho Leonardo,
Pujol Gisela,
Costa Eduardo F.,
Ishihara João Y.,
Val João B. R.
Publication year - 2016
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.3393
Subject(s) - control theory (sociology) , throttle , automotive industry , markov chain , computer science , jump , quadratic equation , markov process , mode (computer interface) , control (management) , mathematical optimization , control engineering , engineering , mathematics , automotive engineering , physics , quantum mechanics , artificial intelligence , machine learning , aerospace engineering , operating system , statistics , geometry
Summary The note presents an output feedback control strategy for Markov jump linear systems with no mode observation. Based on minimizing a finite‐time quadratic cost, we derive an algorithm that generates output feedback gains that satisfy a necessary optimality condition. These gains can be computed off‐line relying only on the initial condition of the system. This result expands a previous one from the literature that considered state‐feedback only. To illustrate the usefulness of the approach, real‐time laboratory experiments were performed to control an automotive electronic throttle valve subject to Markov‐driven voltage fluctuations. Copyright © 2015 John Wiley & Sons, Ltd.