Continuous Time Identification of Systems with known and unknown order

Varanasi, S K (2015) Continuous Time Identification of Systems with known and unknown order. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

System Modelling is important in the field of process control. In this thesis, we reviewed the different kinds of modelling strategies and explained the importance of Continuous time models. Some of the early methods such as LSSVF and RIVC and new methods such as PDA and GS were reviewed. Incase of noiseless systems model order is estimated using zero-norm minimization whereas for noisy systems order estimation is done using a brute force search.

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IITH Creators:	IITH Creators ORCiD
Item Type:	Thesis (Masters)
Uncontrolled Keywords:	system Identification, Compressed Sensing, Model order Estimation, TD375
Subjects:	Chemical Engineering > Biochemical Engineering
Divisions:	Department of Chemical Engineering
Depositing User:	Library Staff
Date Deposited:	08 Jul 2015 10:52
Last Modified:	14 May 2019 11:11
URI:	http://raiithold.iith.ac.in/id/eprint/1671
Publisher URL:
Related URLs:	Google Scholar

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