Title : 
Fault detection for nonlinear systems based on parity space approach
         
        
        
            Author_Institution : 
Autom. Dept., Binzhou Univ., Binzhou, China
         
        
        
        
        
        
            Abstract : 
In this paper, the fault detection approach for nonlinear systems modelled by Takagi-Sugeno (T - S ) fuzzy models based on parity space is studied. The parity space approach for linear systems is generalized to T - S fuzzy systems. Sufficient conditions for the existence of the solutions are derivated in terms of linear matrix inequality (LMI). In the end, a numerical example is given to illustrate the effectiveness of the proposed approach.
         
        
            Keywords : 
fault diagnosis; fuzzy systems; linear matrix inequalities; linear systems; nonlinear dynamical systems; T-S fuzzy systems; fault detection approach; linear matrix inequality; linear systems; nonlinear systems; parity space approach; Aerospace electronics; Fault detection; Fault diagnosis; Fuzzy systems; Mathematical model; Nonlinear systems; Numerical models; Fault detection; Fuzzy system; Linear matrix inequality (LMI); Parity space;
         
        
        
        
            Conference_Titel : 
Control Conference (CCC), 2011 30th Chinese
         
        
            Conference_Location : 
Yantai
         
        
        
            Print_ISBN : 
978-1-4577-0677-6
         
        
            Electronic_ISBN : 
1934-1768