Steady-state target optimization in linear model predictive control

For practical model predictive control applications, a receding horizon regulator must be able to handle nonzero controlled variable targets and nonsquare systems in a consistent manner. This work presents a steady-state target optimization that determines the steady-state state and input targets for a constrained, linear, state-space regulator.

[1]  James B. Rawlings,et al.  Model predictive control with linear models , 1993 .

[2]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.