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Multi‐model unfalsified switching control of uncertain multivariable systems
Author(s) -
Baldi S.,
Battistelli G.,
Mari D.,
Mosca E.,
Tesi P.
Publication year - 2012
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2310
Subject(s) - supervisor , multivariable calculus , control theory (sociology) , controller (irrigation) , scheme (mathematics) , control engineering , feedback loop , control (management) , computer science , scheduling (production processes) , engineering , mathematics , artificial intelligence , mathematical analysis , agronomy , operations management , computer security , political science , law , biology
SUMMARY This paper addresses the problem of controlling an uncertain multi‐input multi‐output system by means of adaptive switching control schemes. In particular, the paper aims at extending the multi‐model unfalsified control approach, so far restricted to single‐input single‐output systems, to a general multivariable setting. The proposed scheme relies on a data‐driven ‘high‐level’ unit, called the supervisor, which at any time can switch on in feedback with the uncertain plant one controller from a finite family of candidate controllers. The supervisor performs routing and scheduling tasks by monitoring suitable test functionals which, on the basis of the measured data, provide a measure of mismatch between the potential loop made up by the uncertain plant in feedback with the candidate controller and the nominal ‘reference loop’ related to the same candidate controller. Copyright © 2012 John Wiley & Sons, Ltd.