NDLI: State estimation of Quadruple tank sytesm using non linear estimator

Content Provider	IEEE Xplore Digital Library
Author	Valarmathi, R. Sairam R, V. Muthukumar, N. Ramkumar, K. Balasubramanian, G. Srinivasan, S.
Copyright Year	2015
Description	Author affiliation: KALASALINGAM Univ., Srivalliputhur, India (Srinivasan, S.) \|\| SASTRA Univ., Thanjavur, India (Valarmathi, R.; Sairam R, V.; Muthukumar, N.; Ramkumar, K.; Balasubramanian, G.)
Abstract	This investigation deals about the estimation of a Quadurple tank system. Estimation process used to measure the difference between the sensor output and estimated output, thus the resultant will show the capability of the system performance for the given input. Unscented Kalman Filter (UKF) is one of the estimation technique used for estimating the non-linear system, will estimate the future state of the system and determines the error involved in the system. Also this paper justifies that UKF is worthwhile than the Extended Kalman Filter (EKF). Due to various drawbacks that have been noted in the EKF, thus there is a switch over to the UKF which does not linearize the non-linear function and it is free from calculating the Jacobianmatix, taylor series expansion.
Starting Page	0513
Ending Page	0517
File Size	802334
Page Count	5
File Format	PDF
e-ISBN	9781467365253
DOI	10.1109/ICCPEIC.2015.7259510
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-22
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Jacobian matrices Analytical models Unscented Kalman Filter (UKF) Computational modeling Non linear filter Extended Kalman Filter (EKF) Mathematical model Quadruple tank
Content Type	Text
Resource Type	Article

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