In this paper the linear constrained regulation problem (LCRP) for discrete-time systems is investigated. Linear transformations combined with linear programming are used to establish an iterative approach to the design of linear state feedback regulators for systems with state and control constraints. It is shown that by this approach faster convergence is obtained. In the last section of the paper, the problem of designing robust linear constrained controllers is studied