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Auto‐weighted minimum‐variance self‐tuning controller
Author(s) -
Zachariah K. J.,
Warwick K.
Publication year - 1986
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.4660070104
Subject(s) - control theory (sociology) , minimum variance unbiased estimator , controller (irrigation) , variance (accounting) , computer science , self tuning , set (abstract data type) , feature (linguistics) , selection (genetic algorithm) , set point , minimum phase , control (management) , mathematics , phase (matter) , control engineering , pid controller , artificial intelligence , statistics , engineering , temperature control , philosophy , business , linguistics , biology , accounting , mean squared error , agronomy , programming language , chemistry , organic chemistry
A self‐tuning controller which automatically assigns weightings to control and set‐point following is introduced. This discrete‐time single‐input single‐output controller is based on a generalized minimum‐variance control strategy. The automatic on‐line selection of weightings is very convenient, especially when the system parameters are unknown or slowly varying with respect to time, which is generally considered to be the type of systems for which self‐tuning control is useful. This feature also enables the controller to overcome difficulties with non‐minimum phase systems.