Model reference identification of state space models for a double effect evaporator | Zendy

Chintapalli Prasad | Zendy; Seborg Dale E. | Zendy; Fisher D. Grant | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

Model reference identification of state space models for a double effect evaporator

Author(s) -

Chintapalli Prasad,

Seborg Dale E.,

Fisher D. Grant

Publication year - 1977

Publication title -

the canadian journal of chemical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.404

H-Index - 67

eISSN - 1939-019X

pISSN - 0008-4034

DOI - 10.1002/cjce.5450550218

Subject(s) - evaporator , reference model , state space , state space representation , identification (biology) , control theory (sociology) , noise (video) , computer science , system identification , model parameter , basis (linear algebra) , reference data , space (punctuation) , mathematics , algorithm , engineering , statistics , data modeling , data mining , mechanical engineering , artificial intelligence , geometry , control (management) , image (mathematics) , botany , heat exchanger , software engineering , database , biology , operating system

A model reference identification technique is used to develop state space models of a double effect evaporator from experimental and simulated data. The model reference technique is based on a Liapunov design approach and is successfully used to estimate coefficient matrices containing 18 parameters in a third order model and 40 parameters in a fifth order model. However, in this application the success of the model reference technique required low measurement noise levels and a judicious choice of design parameters.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research