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This paper investigates the characteristic modeling method for multi-variable linear time invariant systems. To characterize the dynamic information, the multi-variable linear time invariant system is transformed to a Jordan normal form. Then, a characteristic model is developed based on the Jordan normal form. The resulting characteristic model is a second-order difference equation, all the dynamic...
In order to solve the shortcoming of Geodesic Active Contour model that would possibly sink into the non-ideal local minimum when segmenting the objects having concave boundary, an adaptive Geodesic Active Contour model was presented. The new model could adjust the evolution speed of curve based on the curvature of curve and gradient of image by adding an acceleration item in the original model. Moreover,...
Update of applications in SaaS is expected to be a continuous efforts and cannot be done overnight or over the weekend. In such migration efforts, users are trained and shifted from a existing version to a new version successively. There is a long period of time when both versions of applications co-exist. Supporting two systems at the same time is not a cost efficient option and two systems may suffer...
The primary goal of this research is to develop a novel intelligent fault diagnosis method employing neuro-fuzzy transductive inference algorithm (NFTI) in order to solve the the global model application problem, as well as the global availability of the model and sample data set. The method is characterized by that a personal local model which is established for every new fault symptom input data...
This paper presents a new dual-loop control structure, with a fixed switching frequency current decoupling as the inner-loop and a fuzzy adaptive PI voltage as the outer-loop. The input currents are decoupling controlled in the stationary reference frame. A fuzzy adaptive PI voltage controller with the direct voltage error and the slope of the error based on the theory of fuzzy adaptive PI control...
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