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Design of nonlinear parity approach to fault detection and identification based on Takagi-Sugeno fuzzy model and unknown input observer in nonlinear systems
Author(s) -
H. Tolouei,
Mahdi Aliyari Shoorehdeli
Publication year - 2020
Publication title -
journal of control
Language(s) - English
Resource type - Journals
eISSN - 2538-3752
pISSN - 2008-8345
DOI - 10.29252/joc.14.3.1
Subject(s) - nonlinear system , control theory (sociology) , observer (physics) , fault detection and isolation , parity (physics) , fuzzy logic , identification (biology) , computer science , fuzzy control system , fault (geology) , mathematics , control engineering , engineering , artificial intelligence , control (management) , physics , botany , particle physics , quantum mechanics , biology , seismology , geology

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