@ARTICLE{Ramezani, author = {Allahverdi, Farideh and Ramezani, Amin and Forouzanfar, Mehdi and }, title = {Sensor Fault Detection for a class of Uncertain Nonlinear Systems Using Sliding Mode Observers}, volume = {14}, number = {2}, abstract ={This paper deals with the issues of sensor fault detection for a class of Lipschitz uncertain nonlinear system. By definition coordinate transformation matrix for system states and output system, at first the original system divided into two subsystems. The first subsystem includes uncertainties but without any sensor faults and the second subsystem has sensor faults but is free of uncertainties. Then sensor faults in second subsystem are formed as actuator faults. For the aim of fault detection (FD) two sliding mode observers are designed for two subsystems. Stability condition is obtained based on Lyapunov approach. The necessary matrices and parameters to design observers are obtained by solving linear matrix inequality (LMI) problem. Finally, simulation example is given to illustrate the effectiveness proposed approach. }, URL = {http://joc.kntu.ac.ir/article-1-583-en.html}, eprint = {http://joc.kntu.ac.ir/article-1-583-en.pdf}, journal = {Journal of Control}, doi = {10.29252/joc.14.2.27}, year = {2020} }