This article deals with the stabilization of constrained linear system
s and state-space linearizable nonlinear systems and the estimation of
regions of closed-loop stability. To this end, linear and linearizing
static state feedback control laws are considered and a methodology t
o design their gains is presented. The resulting closed-loop system is
such that it can be transformed, via a change of variables, into a fo
rm that facilitates the estimation of regions of stability without hav
ing to resort to a Lyapunov stability analysis. The desirable features
of this approach are its ease of implementation and its relative non-
conservativeness over a Lyapunov-based approach; these are illustrated
by applying the theory to various examples.