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According to highly nonlinear and time-varying vehicle suspension, fuzzy adaptive Kalman filter algorithm is put forward. Adaptive Kalman Filter (AKF) algorithm is used for adjust the fuzzy controller parameters online, adapted to the time-varying controlled object. The dynamic performance and steady precision of system is improved, and control quality is advanced. The results show that the riding...
Fuzzy Integral is a valid method which can decrease the uncertainty of making decision. During this researching field how to get the fuzzy density is a difficult problem ,and is also a hotspot. This paper brings forward a new algorithm to determine fuzzy density compared with the existing algorithms this method the emulational result testifies its validity.
This paper presented a novel approach, based on an integrated use of fuzzy and rough set theories, to greatly reduce data redundancy. The information framework in rough set theory is introduced in fuzzy-rough set. Mutual information-based algorithm for attribute reduction in fuzzy-rough set is introduced and illustrated with a simple example. Experimental result shows that it is an effective technique.
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