TY - JOUR
T1 - A model-less algorithm for tracking control based on input-output data
AU - Ikeda, M.
AU - Fujisaki, Y.
AU - Hayashi, N.
PY - 2001/8
Y1 - 2001/8
N2 - This paper proposes an idea of data-driven predictive control for a linear discrete-time system, that is, a tracking control algorithm based on input-output data. Any traditional model of the plant, such as a transfer function or a state equation, is not employed. The plant dynamics is represented by a rank constraint in an array whose elements are input-output data. The control input for tracking an arbitrary reference signal is readily computed using linear dependence of rows in the array. By refreshing the data, the algorithm can adapt to the change of the plant dynamics.
AB - This paper proposes an idea of data-driven predictive control for a linear discrete-time system, that is, a tracking control algorithm based on input-output data. Any traditional model of the plant, such as a transfer function or a state equation, is not employed. The plant dynamics is represented by a rank constraint in an array whose elements are input-output data. The control input for tracking an arbitrary reference signal is readily computed using linear dependence of rows in the array. By refreshing the data, the algorithm can adapt to the change of the plant dynamics.
UR - http://www.scopus.com/inward/record.url?scp=0035424953&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0035424953&partnerID=8YFLogxK
U2 - 10.1016/S0362-546X(01)00324-8
DO - 10.1016/S0362-546X(01)00324-8
M3 - Conference article
AN - SCOPUS:0035424953
SN - 0362-546X
VL - 47
SP - 1953
EP - 1960
JO - Nonlinear Analysis, Theory, Methods and Applications
JF - Nonlinear Analysis, Theory, Methods and Applications
IS - 3
T2 - 3rd World Congress of Nonlinear Analysts
Y2 - 19 July 2000 through 26 July 2000
ER -