Premium
Designing predictors for MIMO switching supervisory control
Author(s) -
Mosca Edoardo,
Capecchi Francesco,
Casavola Alessandro
Publication year - 2001
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.667
Subject(s) - controller (irrigation) , control theory (sociology) , context (archaeology) , mimo , supervisory control , loop (graph theory) , feedback loop , computer science , open loop controller , control (management) , control engineering , engineering , mathematics , closed loop , artificial intelligence , telecommunications , paleontology , channel (broadcasting) , computer security , combinatorics , agronomy , biology
Abstract The paper studies the problem of inferring the behaviour of a linear feedback loop made up by an uncertain MIMO plant and a given candidate controller from data taken from the plant possibly driven by a different controller. In such a context, it is shown here that a convenient tool to work with is a quantity called normalized discrepancy . This is a measure of mismatch between the loop made up by the unknown plant in feedback with the candidate controller and the nominal ‘tuned‐loop’ related to the same candidate controller. It is shown that discrepancy can in principle be obtained by resorting to the concept of a virtual reference , and conveniently computed in real time by suitably filtering an output prediction error. The latter result is of relevant practical value for on‐line implementation and of paramount importance in switching supervisory control of uncertain plants, particularly in the case of a coarse distribution of candidate models. Copyright © 2001 John Wiley & Sons, Ltd.