A predictive regulator is described for stabilizing linear plants subject t
o polyhedral input constraints. While the asymptotic stability of general l
inear plants is ensured subject to a set-membership condition on the initia
l state, global asymptotic and semiglobal exponential regulation is achieve
d for input-saturated plants which are asymptotically null controllable wit
h bounded inputs. The design knobs of the regulator can be chosen off line
so as to compromise between nonconservative regulation performance and comp
utational complexity, and an on-line optimization problem of prequantifiabl
e numerical burden results.