© 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.Guided munitions are air-to-air or air-to-surface weapons which have enhanced target hit capabilities with laser seekers or similar guidance utilities. The additional components enhance the target hit capability of the munition significantly but they bring along some aerodynamic challenges as well. The cross-coupled interactions are triggered with the sharp maneuvers and the stabilization of the roll channel is aggravated consequently. The decoupled aerodynamics assumption which is put forward for linear controller design holds no more and a significant amount of roll angle is induced with the presence of angle of attack on the munition. The dynamic interferences in nonlinear regions of the flight envelope, leads the studies on control of guided munitions to search for adaptive solutions. This paper presents an adaptive roll control scheme for guided munitions. The control algorithm includes a concurrent learning model reference adaptive controller (CL-MRAC) with state independent uncertainty parameterization.