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


Jawahar Annabattula

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.


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Title

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

Date

31-12-2016

Additional Links

Manuscript Submission

Journal

Innovare Journal of Engineering & Technology
VOL 5 ISSUE 1 JANUARY-FEBRUARY 2017 Page: 38-40

Online ISSN

2347-1573

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Authors & Affiliations

Jawahar Annabattula
Department of EEE Sanketika Institute of Technology and Management Visakhapatnam
India


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