The objective of this study was to address the parameter estimation of the line-of-sight stabilization system on temperature variation, which is a significant element in regulating the control performance of mobile platform with visual targeting system. To this end, the LuGre friction model in this study was used both to represent the characteristic of the friction behavior and to design a control algorithm for the friction compensation. Results from both simulation and experimental tests helps to identify the friction parameters on LuGre friction model. Based on LuGre with parameter estimation, PI-LEAD control algorithm is designed to compensate nonlinear characteristic of the line-of-sight stabilization system on the variation of temperature. Finally, through simulation, the good control performance of line-of-sight stabilization system was evaluated according to the temperature variation.