Experimental validation for nonlinear estimation and tracking using finite-horizon SDRE

Ahmed Khamis, D. Subbaram Naidu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper, an effective online method used for finite-horizon, nonlinear, stochastic tracking problems, is presented. The method incorporates the finite-horizon State Dependent Riccati Equation (SDRE) with Kaiman filter to account for the stochastic environment thereby extending the application spectrum to nonlinear systems and overcoming the hurdle with linear tracking systems limited to small variations around the operating point. The method is illustrated by both computer simulation and experimental verification via hardware in the loop Simulation (HILS).

Original languageEnglish (US)
Title of host publication2014 International Conference on Power, Control and Embedded Systems, ICPCES 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959129
DOIs
StatePublished - Mar 17 2014
Event2014 International Conference on Power, Control and Embedded Systems, ICPCES 2014 - Allahabad, Uttar Pradesh, India
Duration: Dec 26 2014Dec 28 2014

Publication series

Name2014 International Conference on Power, Control and Embedded Systems, ICPCES 2014

Other

Other2014 International Conference on Power, Control and Embedded Systems, ICPCES 2014
Country/TerritoryIndia
CityAllahabad, Uttar Pradesh
Period12/26/1412/28/14

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