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Adaptive mesh refinement (AMR) shows attractive properties in automatically refining the flow region of interest, and with AMR, better prediction can be obtained with much less labor work and cost compared to manually remeshing or the global mesh refinement. Cartesian AMR is well established; however, AMR on hybrid unstructured mesh, which is heavily used in the high‐Reynolds number flow simulation,...
Minimum variance (MV) adaptive beamforming has been applied in medical ultrasound imaging to improve lateral resolution, but standard MV method is quite sensitive to the perturbation of the received signal. Due to the inhomogeneity of human tissues, sound speed varies and there exists a certain amount of time-delay error for each channel which is referred to as phase aberration. A robust minimum variance...
By using the non-PDC control and the multiple Lyapunov function, a set of LMI-based stabilization conditions for continuous-time T-S fuzzy systems is developed in the paper. In comparison with existing results, not only the derived condition is more relaxed but the approach used is simpler and more realizable in dealing with the time derivatives of membership functions. Some drawback existing in current...
Aiming at the movement balance problem of the two-wheeled robot, the operant conditioning theory of artificial cerebellar sensorimotor systems is used, and the theory adopts a learning mechanisms of Skinnerpsilas operation conditioned based on the learning algorithm of recurrent neural network, through learning and training, the two-wheeled robot can obtain the skills of movement balance control like...
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