Improved multipliers for input-constrained model predictive control
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In: IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 41, No. 2, 25.04.2016, p. 15160-15165.
Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Improved multipliers for input-constrained model predictive control
AU - Heath, W.P.
AU - Li, G.
PY - 2016/4/25
Y1 - 2016/4/25
N2 - he 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 stage constraints. This can significantly reduce the conservatism of any stability analysis, and we illustrate the improved performance with a simple numerical example.
AB - he 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 stage constraints. This can significantly reduce the conservatism of any stability analysis, and we illustrate the improved performance with a simple numerical example.
U2 - 10.3182/20080706-5-KR-1001.02564
DO - 10.3182/20080706-5-KR-1001.02564
M3 - Erthygl
VL - 41
SP - 15160
EP - 15165
JO - IFAC Proceedings Volumes (IFAC-PapersOnline)
JF - IFAC Proceedings Volumes (IFAC-PapersOnline)
IS - 2
ER -