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Stochastic adaptive control of a class of non‐minimum‐phase systems
Author(s) -
Chan C. Y.,
Sirisena H. R.
Publication year - 1989
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.4660100305
Subject(s) - minimum phase , control theory (sociology) , adaptive control , controller (irrigation) , class (philosophy) , stability theory , computer science , noise (video) , mathematics , loop (graph theory) , phase (matter) , zero (linguistics) , linear system , mathematical optimization , control (management) , nonlinear system , artificial intelligence , physics , mathematical analysis , philosophy , quantum mechanics , agronomy , image (mathematics) , biology , linguistics , combinatorics
This paper presents a computationally efficient pole‐zero placement adaptive controller for linear discrete stochastic systems with coloured noise. The systems are assumed to be open‐loop stable, but not necessarily minimum phase. It is shown that the algorithm asymptotically achieves the required properties of the closed‐loop system.