中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共6条，第1-6条

帮助

条数/页：排序方式：
	Distributed Lagrange Multiplier/Fictitious Domain Finite Element Method for a Transient Stokes Interface Problem with Jump Coefficients 期刊论文 OAI收割 CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2019, 卷号: 119, 期号: 1, 页码: 35-62 作者: Lundberg, Andrew; Sun, Pengtao; Wang, Cheng; Zhang, Chen-song \| 收藏 \| 浏览/下载：39/0 \| 提交时间：2020/01/10 Transient Stokes interface problem jump coefficients distributed Lagrange multiplier fictitious domain method mixed finite element an optimal error estimate stability
	HETEROGENEOUS MULTISCALE METHOD FOR OPTIMAL CONTROL PROBLEM GOVERNED BY ELLIPTIC EQUATIONS WITH HIGHLY OSCILLATORY COEFFICIENTS 期刊论文 OAI收割 JOURNAL OF COMPUTATIONAL MATHEMATICS, 2018, 卷号: 36, 期号: 5, 页码: 644-660 作者: Ge, Liang; Yan, Ningning; Wang, Lianhai; Liu, Wenbin; Yang, Danping \| 收藏 \| 浏览/下载：52/0 \| 提交时间：2019/03/05 Constrained convex optimal control Heterogeneous multiscale finite element A priori error estimate Elliptic equations with highly oscillatory coefficients
	On the design of feed-forward Sigma Delta interface for MEMS based accelerometers 期刊论文 OAI收割 ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 2012, 卷号: 72, 期号: 1, 页码: 3-10 作者: Liang, Wenquan; Yang, Changchun; Qiao, Donghai \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2018/09/26 Analog to digital conversion Feed forward sigma-delta interface MEMS Inertial accelerometer Compensation filter Optimal coefficients
	Theoretical analysis of emission characteristics of second-order distributed feedback semiconductor lasers (EI CONFERENCE) 会议论文 OAI收割 Semiconductor Lasers and Applications IV, October 18, 2010 - October 19, 2010, Beijing, China 作者: Liu Y.; Liu Y.; Qin L.; Liu Y.; Wang L. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 Based on the modified coupled-wave theory the emission characteristics including threshold gain photon density distribution in the cavity and external differential quantum efficiency for second-order DFB lasers are investigated. Numerical simulation results show that for given device structure with wavelength of 1.55 m the feedback coupling coefficient and the surface radiation coupling coefficient of the second-order grating have great influence on the emission characteristics of the device. By choosing different duty cycles of the grating we can change the two coupling coefficients which affect the emission characteristics. For an overall consideration an optimal duty cycle of 0.43 is chosen. The optimized results show that the device works without degeneracy modes and spatial burning hole. Besides the side-mode suppress ratio (SMSR) and external differential quantum efficiency reach as high as 42 dB and 47% respectively. 2010 SPIE.
	An adaptive image contrast enhancement based on differential evolution (EI CONFERENCE) 会议论文 OAI收割 2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China Yang Q. 收藏 \| 浏览/下载：16/0 \| 提交时间：2013/03/25 Tubbs proposed a regularized incomplete beta function to represent some nonlinear transform functions most commonly used in image contrast enhancement. But how to define the coefficients of the beta function adaptively is still a problem. Applying the differential evolution in image contrast enhancement we utilize the global quickly search ability of the differential evolution algorithm adaptive mutation search at last searches the optimal values of beta function and gets an adaptive contrast enhanced image. To avoid trapping into local optimum a chaotic differential evolution algorithm is proposed. Experimental results show that the proposed algorithm can find the global optimal in few iterations and save largely computational time and complexity. 2010 IEEE.
	An improved adaptive neural network method for control system (EI CONFERENCE) 会议论文 OAI收割 2006 International Conference on Machine Learning and Cybernetics, August 13, 2006 - August 16, 2006, Dalian, China Wang L.-M.; Xie M.-J.; Wu D.-Y. 收藏 \| 浏览/下载：15/0 \| 提交时间：2013/03/25 Classical methods for designing a controller depend on the accuracy of system model. However plant's models and other parts in a physical system can not accurately represent all possible dynamics. Thus the controller designed is usually not the optimal one. In this article a new simple adaptive control method which combines the classical frequency domain method with the neural network theory is proposed. Firstly we can obtain a controller using classical method. Secondly we use the coefficients in digitized controller equation as the initial values of an Adaline network. Finally LMS learning rules is used to adjust the weights adaptively. Experimental results show that this method is very effective in improving the performance of conventional controller. 2006 IEEE.