Event-Triggered Fault Detection Filter Design for Discrete-Time Memristive Neural Networks With Time Delays

2020 ◽  
pp. 1-11
Author(s):  
Wen-Juan Lin ◽  
Yong He ◽  
Chuan-Ke Zhang ◽  
Leimin Wang ◽  
Min Wu
Keyword(s):  
Neural Networks ◽  
Fault Detection ◽  
Discrete Time ◽  
Time Delays ◽  
Filter Design ◽  
Memristive Neural Networks ◽  
Fault Detection Filter ◽  
Detection Filter ◽  
Event Triggered

scholarly journals Improved Reduced-Order Fault Detection Filter Design for Polytopic Uncertain Discrete-Time Markovian Jump Systems with Time-Varying Delays

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Lihong Rong ◽  
Xiuyan Peng ◽  
Liangliang Liu ◽  
Biao Zhang
Keyword(s):  
Fault Detection ◽  
Discrete Time ◽  
Filter Design ◽  
Sufficient Conditions ◽  
Time Varying ◽  
Markovian Jump ◽  
Reduced Order ◽  
Fault Detection Filter ◽  
Markovian Jump Linear Systems ◽  
Detection Filter

The fault detection (FD) reduced-order filtering problem is investigated for a family of polytopic uncertain discrete-time Markovian jump linear systems (MJLSs) with time-varying delays. Under meeting the control precision requirements of the complex systems, the reduced-order fault detection filter can improve the efficiency of the fault detection. Then, by the aid of the Markovian Lyapunov function and convex polyhedron techniques, some novel time-varying delays and polytopic uncertain sufficient conditions in terms of linear matrix inequality (LMI) are proposed to insure the existence of the FD reduced-order filter. Finally, an illustrative example is provided to verify the usefulness of the given method.

Sign in / Sign up

Export Citation Format

Share Document