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Multi-objective optimization in quantum parameter estimation

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Science China(Physics,Mechanics & Astronomy) 2018年第4期61卷 30-35页

作者： BeiLi Gong wei cui School of Automation Science and Engineering South China University of Technology

We investigate quantum parameter estimation based on linear and Kerr-type nonlinear controls in an open quantum system, and consider the dissipation rate as an unknown parameter. We show that while the precision of parameter estimation is improved,it usually introduces a significant deformation to the system state. Moreover, we propose a multi-objective model to optimize the two conflicting objectives:(1) maximizing the Fisher information, improving the parameter estimation precision, and(2)minimizing the deformation of the system state, which maintains its fidelity. Finally, simulations of a simplified ε-constrained model demonstrate the feasibility of the Hamiltonian control in improving the precision of the quantum parameter estimation.

关键词： quantum parameter estimation Fisher information multi-objective optimization

Research opportunities arising from measurement and estimation of quantum systems

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Control Theory and Technology 2018年第3期16卷 241-243页

作者： wei cui School of Automation Science and Engineering South China University of Technology Guangzhou Guangdong 510640 China

With the advancement of quantum experimental technology, quantum computing has earned many attentions and made great development. Meanwhile, quantum measurement theory [1] has become an indispensable component of it, ultimately working for the quantum state estimation. Being tools for emerging quantum computing technology,those two areas provide many research opportunities.

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Short-Range Multitarget Motion Parameter Estimation Method Based on Hough Transform

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Chinese Journal of Electronics 2019年第2期28卷 344-348页

作者： LYU Peng wei Guohua cui wei School of Information and Electronics Beijing Institute of Technology Institute of Electronics Chinese Academy of Sciences

This study proposes a novel short-range multitarget motion parameter estimation method based on Hough transform. The proposed method can be used for multitarget detection, motion parameter estimation, and data association. In our proposed method, the measured radial distance and Doppler frequency versus time data is mapped to the motion parameter space by Hough transform. The motion parameter space data is binarized to determine the number of targets. The unsupervised nearest neighbor clustering technique is used to determine the search space of targets. The maximum value in each search space is estimated as the motion parameter of the corresponding target. Simulation results show that the proposed method has higher parameter estimation accuracy than that of conventional methods.

关键词： Clustering Hough transform Multitarget Parameter estimation Short-range

Existence,Orbital Stability and Instability of Solitary Waves for Coupled BBM Equations

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Acta Mathematicae Applicatae Sinica 2009年第1期25卷 1-10页

作者： Li-wei cui Fundamental Department The Academy of Armored Force Engineering Beijing 100072 China

This paper is concerned with the orbital stability/instability of solitary waves for coupled BBM equations which have Hamiltonian form. The explicit solitary wave solutions will be worked out first. Then by detailed spectral analysis and decaying estimates of solutions for the initial value problem, we obtain the orbital stability/instability of solitary waves.

关键词： Solitary wave orbital stability/instability spectral analysis decaying estimate

Hybrid multiple attribute decision making model based on entropy

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Journal of Systems Engineering and Electronics 2007年第1期18卷 72-75页

作者： Wang wei cui Mingming Dept. of Management Science Naval Univ. of Engineering Wuhan 430033 P.R. China

From the viewpoint of entropy, this paper investigates a hybrid multiple attribute decision making problem with precision number, interval number and fuzzy number. It defines a new concept： project entropy and the de... 详细信息

关键词： Decision making Project entropy Hybrid multiple attribute Fuzzy number

Fuzzy data envelopment analysis approach based on sample decision making units

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Journal of Systems Engineering and Electronics 2012年第3期23卷 399-407页

作者： Muren Zhanxin Ma wei cui School of Mathematical Sciences Inner Mongolia University Hohhot 010021 E R. China Department of Mathematics Inner Mongolia University of Technology Hohhot 010051 E R. China School of Economics and Management Inner Mongolia University Hohhot 010021 P. R. China

The conventional data envelopment analysis （DEA） measures the relative efficiencies of a set of decision making units with exact values of inputs and outputs. In real-world prob- lems, however, inputs and outputs typically have some levels of fuzziness. To analyze a decision making unit （DMU） with fuzzy input/output data, previous studies provided the fuzzy DEA model and proposed an associated evaluating approach. Nonetheless, numerous deficiencies must still be improved, including the α- cut approaches, types of fuzzy numbers, and ranking techniques. Moreover, a fuzzy sample DMU still cannot be evaluated for the Fuzzy DEA model. Therefore, this paper proposes a fuzzy DEA model based on sample decision making unit （FSDEA）. Five eval- uation approaches and the related algorithm and ranking methods are provided to test the fuzzy sample DMU of the FSDEA model. A numerical experiment is used to demonstrate and compare the results with those obtained using alternative approaches.

关键词： fuzzy mathematical programming sample decision making unit fuzzy data envelopment analysis efficiency α-cut.

Lane Departure Assistance Coordinated Control System for In-Wheel Motor Drive Vehicles Based on Dynamic Extension Boundary Decision

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Journal of Systems Science & Complexity 2020年第4期33卷 1040-1063页

作者： WANG Hongbo cui wei YE Bin School of Automotive and Transportation Engineering Hefei University of TechnologyHefei 230009China Anhui Intelligent Vehicle Engineering Laboratory Hefei 230009China

Aiming at the advantages in active safety control of in-wheel motor drive vehicles, the classified decision-control-execution is proposed to the lane departure assistance system under the premise of ensuring the stability of the vehicle. The dynamic extension boundaries which vary with vehicle speed, road curvature and road adhesion coefficient are designed in the decision layer by using the neural network algorithm, which divides different dangerous degrees into different decision *** active differential steering controller, the electronic differential controller and their coordinated control strategy are designed in the control layer, and the corresponding control is carried out among different decision regions. In order to avoid the dangerous situation of secondary deviation caused by the existence of drift angle when the vehicle is rectified to the lane centerline, the heading angle controller is then designed in the control layer. The different torque distribution modes are divided according to the current vehicle speed, road adhesion coefficient and lateral acceleration in the execution layer, and the economic distribution, stability distribution, joint distribution are correspondingly executed among different torque distribution modes. Finally, Carsim and Matlab/Simulink are used for simulation verification.

关键词： execution Extension heading

A Novel Carrier Leakage Cancellation Algorithm for Multiple Target Detection

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Chinese Journal of Electronics 2019年第1期28卷 100-106页

作者： ZHOU Junwei SHEN Qing cui wei School of Information and Electronic Beijing institute of Technology

False alarms and misdetections caused by the carrier leakage problem attract increasing attention for resource-limited platforms. To tackle the problem, we propose a target protected carrier leakage cancellation algorithm to rebuild the leakage signal from reference cells with those cells randomly updated based on each detection result to exclude the targets. The proposed algorithm eliminates the carrier leakage effectively without introducing false target due to the non-involvement of the target information in the reference cells based on a random update strategy. The noise level of our proposed algorithm is less than that of the commonly used algorithms such as the Cell average constant false alarm rate(CA-CFAR)detection method. As verified in the simulations, the proposed algorithm performs better than the CA-CFAR method.

关键词： Carrier leakage Multiple target Target protected cancellation

Sparse Reconstruction Method for DOA Estimation Based on Dynamic Dictionary and Negative Exponent Penalty

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Chinese Journal of Electronics 2018年第2期27卷 386-392页

作者： QIAN Tong cui wei SHEN Qing School of Information and Electronic Beijing Institute of Technology

This paper proposes a novel sparse representation method for direction of arrival estimation based on dynamic dictionary and negative exponent penalty. The dynamic dictionary can eliminate the off-grid effect and the negative exponent penalty is capable of strengthening the sparse constraint to improve the performance. The basis is regarded as a part of the optimal target and the cross iteration is utilized to jointly update the dictionary and sparse support in this method. Based on the propositions of the penalty function, the penalty function is designed to replace of 1 norm because of its unbiasedness and stronger sparse constraint. The regularization parameter is simplified as a constant due to pre-white process, which greatly extends the application range of the proposed method. The simulation results show that the proposed method can efficiently reduce the off-grid effect and the over-complete rate of the original dictionary. Compared with the conventional sparse representation methods, it has better performance and lower computation complexity.

关键词： Direction of arrival(DOA) Sparse reconstruction Dynamic dictionary Penalty function