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The cellular neural nonlinear network (CNN) is a powerful tool for image and video signal processing, robotic and biological visions. This paper sets up a theorem to design robustness template CNN for contour detection in images, which provides parameter inequalities for determining parameter intervals for implementing the corresponding tasks. The contour CNN has successfully detected edges in three...
We present the concept of the complexity radii of nonlinear dynamic system (NDS) with linear perturbations. In this paper we improve the algorithm of the complexity radii. As a "robust measure" of dynamic complexity of NDS, the complexity radii provide the tolerated parameter perturbation values of NDS without losing its dynamic complexity. As an application, the real complexity radii of...
A two-level fuzzy tuning scheme is presented in this paper. The fuzzy tuner in the upper level is used to design the membership functions of the fuzzy logic controller in the lower level. The scheme provides an effective means for obtaining a good performance of the controller in a short time with a low computational burden. The upper and lower levels have a similar structure for the fuzzy inference,...
A two-level fuzzy tuning scheme is presented in this paper. The fuzzy tuner in the upper level is used to design the membership functions of the fuzzy logic controller in the lower level. The scheme provides an effective means for obtaining a good performance of the controller in a short time with a low computational burden. The upper and lower levels have a similar structure for the fuzzy inference,...
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