%0 Book Section
%A Bemporad, Alberto
%A Ricker, N. Lawrence
%A Owen, James Gareth
%B American Control Conference
%C Boston, Marsachuselts June 30. July 2,2004
%D 2004
%F eprints:563
%I IEEE
%K MATLAB; Simulink model; disturbance characteristics; flexible modeling; model predictive control toolbox; nonlinear models; control system CAD; control system analysis computing; nonlinear control systems; predictive control; software packages
%P 5622-5627
%T Model predictive control - new tools for design and evaluation
%U http://eprints.imtlucca.it/563/
%V 6
%X A new version of the model predictive control toolbox for MATLAB is described. Major improvements include more flexible modeling of plant and disturbance characteristics, and support for design and simulation involving nonlinear (Simulink) models.