INVESTIGATION OF ADVANCED NON-LINEAR CONTROL AND ESTIMATION ALGORITHM FOR ROCKET BASED APPLICATIONS
Online Object tracking is an important task in radar and sonar signal processing As it Â is a challenging problem due to the presence of noise, and dynamic changes. a variety of Stochastic algorithms for tracking targets have been proposed and implemented to reach Â these challenges. Approaches towardsÂ Â highly nonlinearÂ applicationsÂ is an Â Â advancedÂ Â task . In this paper, we devote the effort to use the Particle Filtering with estimation of various states of a vehicle launched from an idealized spherical, airless, non-rotating earth to improve tracking efficiency. The simulation results show that the PF improved the tracking performance compared to the Kalman based Filters (EKF, UKF) for the rocket launch application.
How to Cite
JAWAHAR A, & VISHNU CHAKRAVARTHI CH. (2017). INVESTIGATION OF ADVANCED NON-LINEAR CONTROL AND ESTIMATION ALGORITHM FOR ROCKET BASED APPLICATIONS. Innovare Journal of Engineering and Technology, 5(1), 38–40. Retrieved from https://journals.innovareacademics.in/index.php/ijet/article/view/15992