Premium
Fast parallel LQ regulator design for adaptive control
Author(s) -
Chisci L.,
Garulli A.,
Zappa G.
Publication year - 1997
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/(sici)1099-1115(199708)11:5<395::aid-acs415>3.0.co;2-h
Subject(s) - model predictive control , control theory (sociology) , adaptive control , computation , computer science , systolic array , bandwidth (computing) , optimal control , state (computer science) , quadratic programming , algorithm , mathematical optimization , control (management) , mathematics , very large scale integration , artificial intelligence , embedded system , computer network
A new fast algorithm for linear quadratic (LQ) control optimization is derived using a partial state formulation and is exploited for the synthesis of long‐range predictive controllers. The new algorithm requires O ( Nn ) computations for an n th‐order plant and N ‐step prediction horizon and is about twice as cheap as existing fast algorithms. Systolic implementation on arrays of O ( n ) processors is also considered to get an O ( N ) processing time. Both fast algorithms and systolic implementation can be used to considerably speed up the control design task in adaptive predictive control schemes and thus increase the adaptation bandwidth. © 1997 John Wiley & Sons, Ltd.