Agarwal, "Subspace-based optimization method for reconstructing perfectly electric conductors," Progress In Electromagnetics Research, Vol. 100, 119-128, 2010.Subspace-based optimization method for reconstructing perfectly electric conductors. X. Ye,X. Chen,Y. Zhong,K. Agarwal. Progress in ...
Numerical simulations validate the fast convergence and robustness of the proposed inverse method.doi:10.1163/156939309789476301ChenX.-DTaylor & Francis GroupJournal of Electromagnetic Waves and ApplicationsChen, X.-D., "Subspace-based optimization method in electric impedance tomography," Journal of ...
This paper presents a novel variation of the subspace-based optimization method (SOM) to reconstruct the scatterer's permittivity profile by utilizing only phaseless measurements (i.e., intensity data of the total field with no phase information). Based on spectrum analysis, the contrast source is...
4.Iterative Optimization and Subspace Identification Methods for Linear Systems;线性系统的迭代优化与子空间辨识方法研究 5.Model-predictive-control based on subspace identification and its application基于子空间辨识的模型预测控制策略及其应用 6.Model Predictive Damping Control Based on On-line Recursive Closed-...
This paper presents a wavelet based twofold subspace-based optimization method, i.e., WT-TSOM, for solving highly nonlinear ISPs by using of the CIE-I model. While the nonlinearity of the ISPs can be alleviated and the multiple scattering effects within inversion can be suppressed by the CIE...
A Reliability based Multidisciplinary Design Optimization Method with Multi-Source Uncertainties optimization algorithm, sequential multidisciplinary reliability analysis method based on the concurrent subspace optimization (CSSO) and performance measure approach (PMA), and hierarchical and hybrid sequential optimizat...
The subspaces are not defined a priori but are subject to an optimization procedure as all other parameters of the model. The new model has the capability to cope with high feature dimensions. The model has similarities to projection pursuit and to the mixture of experts architecture. The model...
A curvilinear optimization method based upon iterative estimation of the eigensystem of the Hessian matrix (1996), A curvilinear optimization method based upon iterative estimation of the eigensystem of the hessian matrix. J. of Mathematical Analysis and Applications, 63: 396-411.C. A. Botsaris, ...
2. Optimization of sensing time and cooperative user allocation for OR-rule cooperative spectrum sensing in cognitive radio network [J] . 刘鑫, 仲伟志, 陈琨奇 中南大学学报(英文版) . 2015,第007期 机译:认知无线电网络中“或”规则协作频谱感知的感知时间和协作用户分配的优化 3. Power Control ...
The obtained results were similar to those reached by data-driven method. Verhaegen and Hansson [173] introduced data-driven input-output N2SID using convex nuclear norm optimization. Mathematical formulations are furnished to derive the theory of the N2SID algorithm. The sequence for derivation of ...