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On the implementation of predictive adaptive control by adaptive predictors
Author(s) -
Chisci L.,
Zappa G.,
Mosca E.
Publication year - 1990
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.4480040302
Subject(s) - model predictive control , parametrization (atmospheric modeling) , modular design , control theory (sociology) , adaptive control , identification (biology) , computation , representation (politics) , computer science , control (management) , mathematics , algorithm , artificial intelligence , law , physics , botany , quantum mechanics , politics , political science , biology , radiative transfer , operating system
A convenient parametrization of LQ predictive control laws in terms of predictions only is stressed. This has two desirable consequences in predictive adaptive control. First, it makes the control computation independent of the identified plant representation (be it transversal, lattice or any other). Secondly, it allows modular VLSI implementation by means of standard RLS adaptive predictor modules. In this connection it is shown that control strategies based on the separate identification of multistep‐ahead predictors are more favourable than strategies based on computing multistep‐ahead predictor parameters by analytically extrapolating the identified one‐step‐ahead predictor.