TY  - CHAP
A1  - Bemporad, Alberto
A1  - Mosca, Edoardo
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=480261&isnumber=10221
M1  - 2
Y1  - 1995///
CY  - New Orleans, December 1995
KW  - asymptotic stability; computational complexity; filtering theory; nonlinear control systems; performance index; predictive control

AV  - none
SP  - 1205
TI  - Nonlinear predictive reference governor for constrained control systems
PB  - IEEE
T2  - Decision and Control Conference
SN  - 0-7803-2685-7 
ID  - eprints591
EP  - 1210
N2  - This paper presents a new methodology for solving control problems where hard contraints on the state and/or the inputs of the system are present. This is achieved by adding to the control architecture a command governor which prefilters the reference to be tracked, taking into account the current value of the state and aiming at optimizing a tracking performance index. The overall system is proved to be asymptotically stable, and feasibility is ensured by a weak condition on the initial state linear loops, a complete solution is developed for the latter. The resulting online computational burden turns out to be moderate and the related operations executable with current low-priced computing hardware
ER  -