Publications

@conference{Soltani2013911,

title = {Robust fault detection for chemical processes},

author = {H. Soltani and S. Bel Hadj Ali Naoui and R. El Harabi and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893235294\&doi=10.1109%2fCoDIT.2013.6689664\&partnerID=40\&md5=0780d35b66debd8c133b9833ad44ce1e},

doi = {10.1109/CoDIT.2013.6689664},

isbn = {9781424497966},

year  = {2013},

date = {2013-01-01},

journal = {2013 International Conference on Control, Decision and Information Technologies, CoDIT 2013},

pages = {911-916},

abstract = {This paper deals with the design of a robust fault detection filter for a two stage chemical reactor which is a complex process, susceptible to faults, that can minimize productivity and humans safety. This process is considered as a time-delay system with both unknown inputs and parameter uncertainties. Therefore, a multi-objective optimization technique is used to introduce a new performance index and formulate the robust fault detection filter design problem as a H∞ model-matching problem. Stability conditions are verified using linear matrix inequality (LMI). Adaptive thresholds are later developed in order to evaluate fault indicators. Simulation tests show the efficiency of the proposed approach. © 2013 IEEE.},

note = {cited By 5},

keywords = {Adaptive thershold; Adaptive thresholds; Multi-objective optimization techniques; Parameter uncertainty; Performance indices; Robust fault detection; Robust Fault Detection Filters; Uncertain time-delay system, Delay control systems; Linear matrix inequalities; Multiobjective optimization, Information technology},

pubstate = {published},

tppubtype = {conference}

}