In this work we have proposed a new model based predictive analysis using two dynamic process of optimization like cat swarm optimization. Tracking of unmanned aerial vehicle to minimize the minimum and optimized tracking for aerospace applications is an important role. Designing the model based on trajectories of UAV's in the optimized path is found by D star basic algorithm and tracing of optimized path is done by cat swarm algorithm. Various parameters and mathematical analysis is done for the process of optimized path. Results are discussed are done in MATLAB for obtaining the minimized path in a more improved strategy and shows the effectiveness of the proposed model in an efficient way. © 2017 IAEME Publication.