TY  - JOUR
VL  - 42
SP  - 340
PB  - IEEE 
A1  - Bemporad, Alberto
A1  - Casavola, Alessandro
A1  - Mosca, Edoardo
JF  - IEEE Transactions on Automatic Control 
IS  - 3
Y1  - 1997/03//
EP  - 349
ID  - eprints445
N2  - A method based on conceptual tools of predictive control is described for solving set-point tracking problems wherein pointwise-in-time input and/or state inequality constraints are present. It consists of adding to a primal compensated system a nonlinear device, called command governor (CG), whose action is based on the current state, set-point, and prescribed constraints. The CG selects at any time a virtual sequence among a family of linearly parameterized command sequences, by solving a convex constrained quadratic optimization problem, and feeds the primal system according to a receding horizon control philosophy. The overall system is proved to fulfill the constraints, be asymptotically stable, and exhibit an offset-free tracking behavior, provided that an admissibility condition on the initial state is satisfied. Though the CG can be tailored for the application at hand by appropriately choosing the available design knobs, the required online computational load for the usual case of affine constraints is well tempered by the related relatively simple convex quadratic programming problem
SN  - 0018-9286
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=557577&isnumber=12164
KW  - asymptotic stability; compensation; computational complexity; convex programming; nonlinear control systems; nonlinear programming
    predictive control
    quadratic programming
AV  - none
TI  - Nonlinear control of constrained linear systems via predictive reference management
ER  -