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Minutiae, as the essential features of fingerprints, play a significant role in fingerprint recognition systems. Most existing minutiae extraction methods are based on a series of hand-defined preprocesses such as binarization, thinning and enhancement. However, these preprocesses require strong prior knowledge and are always lossy operations. And that will lead to dropped or false extractions of...
In order to implement effective control for a class of non-affine nonlinear dynamic systems, which are implicit function with respect to control input, with strong nonlinearity and uncertainty, the algorithm is established based on some mathematics theories, and the Hinfin optimal control techniques is also adopted. All of the approximation errors are weakened by a robustifying control term. Our result...
For a class of large-scale mechanical nonlinear systems, such as inverted pendulum, intervehicle spacing regulation in a platoon of automated highway systems and single-link robots with flexible joints, in this paper, we design a neural network (NN-based) decentralized adaptive control scheme to implement control them effectively. As a direct adaptive controller, neural network is used to approximate...
An element hysteresis model (EHM) is constructed through the technique of continuous transformation, and produces a one-to-one relation between input and output space of hysteresis nonlinearity. The output of EHM is used as one of inputs of neural network (NN), and therefore, an EHM-based neural network model of hysteresis is built, and which can predict any kind of hysteresis nonlinearities which...
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