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Sensor network design for nonlinear processes

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2 Author(s)
Li, Bo ; Departnent of Chern ical Engneerng, Tsnghua University, Beijitg 100084, China ; Chen, Bingzhen

This paper presents amethod to design a cost-optimal nonredundant sensor network to observe all variables in a general nonlinear process. Arnixed integer linear programming model was used to minimize the cost with data classification to check the observability of variables. This work is a starting point for designing sensor networks for general nonlinear processes based on various criteria, such as reliability and accuracy.

Published in:

Tsinghua Science and Technology  (Volume:8 ,  Issue: 6 )