INVESTIGATION OF ADVANCED NON-LINEAR CONTROL AND ESTIMATION ALGORITHM FOR ROCKET BASED APPLICATIONS

  • JAWAHAR A Department of EEESanketika Institute of Technology and ManagementVisakhapatnam
  • VISHNU CHAKRAVARTHI CH

Abstract

Online Object tracking is an important task in radar and sonar signal processing As it  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  these challenges. Approaches towards   highly nonlinear  applications  is an   advanced   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.

Author Biography

JAWAHAR A, Department of EEESanketika Institute of Technology and ManagementVisakhapatnam

Department of EEE
Sanketika Institute of Technology and Management
Visakhapatnam

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How to Cite
JAWAHAR A, & VISHNU CHAKRAVARTHI CH. (2016). INVESTIGATION OF ADVANCED NON-LINEAR CONTROL AND ESTIMATION ALGORITHM FOR ROCKET BASED APPLICATIONS. Innovare Journal of Engineering & Technology, 5(1), 38-40. Retrieved from https://innovareacademics.in/journals/index.php/ijet/article/view/15992
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Original Article(s)

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