Abstract
This study is concerned with the fault estimation problem of discrete-time Takagi–Sugeno fuzzy systems with low-frequency faults. A fault estimation filter is designed to solve this problem. To make the estimation error as small as possible in the presence of high-frequency disturbances, the filter is designed to satisfy two finite-frequency H ∞ performance indices simultaneously. An algorithm is proposed to calculate the parameters of the desired filter. The obtained filter can estimate the faults in low-frequency domain effectively, e.g. stuck faults. For comparison, a full-frequency fault estimation method is also given. An example is given to illustrate advantages of the proposed finite-frequency method.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
