Multipliers for model predictive control with structured input constraints
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In: Automatica, Vol. 46, No. 3, 30.03.2010, p. 562-568.
Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Multipliers for model predictive control with structured input constraints
AU - Heath, W.P.
AU - Li, G.
PY - 2010/3/30
Y1 - 2010/3/30
N2 - The stability and robustness of input-constrained model predictive control can be analyzed using the theory of integral quadratic constraints. We demonstrate the existence of improved multipliers when there are only staged input or box input constraints. This can significantly reduce the conservatism of any stability analysis, and we illustrate the improved performance with a simple numerical example.
AB - The stability and robustness of input-constrained model predictive control can be analyzed using the theory of integral quadratic constraints. We demonstrate the existence of improved multipliers when there are only staged input or box input constraints. This can significantly reduce the conservatism of any stability analysis, and we illustrate the improved performance with a simple numerical example.
U2 - 10.1016/j.automatica.2010.01.020
DO - 10.1016/j.automatica.2010.01.020
M3 - Erthygl
VL - 46
SP - 562
EP - 568
JO - Automatica
JF - Automatica
IS - 3
ER -