A5034610167- Advanced Optimization Algorithms Research
- Industrial Technology and Control Systems
- Numerical Methods and Algorithms
- Polynomial and algebraic computation
- Matrix Theory and Algorithms
- Iterative Methods for Nonlinear Equations
- Optimization and Variational Analysis
- Simulation and Modeling Applications
- Advanced Sensor and Control Systems
- Advanced Algorithms and Applications
- Hydraulic and Pneumatic Systems
- Optimization and Mathematical Programming
- Advanced Decision-Making Techniques
- Advanced Computational Techniques and Applications
- Tensor decomposition and applications
- Numerical methods for differential equations
- Microgrid Control and Optimization
- Multilevel Inverters and Converters
- Advanced Numerical Methods in Computational Mathematics
- Electric and Hybrid Vehicle Technologies
- Higher Education and Teaching Methods
- EFL/ESL Teaching and Learning
- Fuzzy Systems and Optimization
- Risk and Portfolio Optimization
- Advanced DC-DC Converters
Xiangtan University
2014-2025
Hohai University
2024
Nanjing University of Aeronautics and Astronautics
2012-2023
Hunan Xiangdian Test Research Institute (China)
2022
State Key Laboratory of Vehicle NVH and Safety Technology
2010-2021
Shenzhen Polytechnic
2004-2013
Air Force Engineering University
2013
Hubei Normal University
2003-2012
University of Science and Technology of China
2006
Yong In University
2005
For electrified transportation (eTransportation) systems, multi-phase motors can provide higher performance and reliability than three-phase ones, but also bring more challenges in their optimal design control. In this article, a set of high reliable electric drive system based on dual permanent magnet synchronous motor (DTP PMSM) is developed for auxiliary systems eTransportation field. A digital collaborative develop process proposed with the support multiple software tools. Design,...
Abstract This paper studies the saddle point problem of polynomials. We give an algorithm for computing points. It is based on solving Lasserre’s hierarchy semidefinite relaxations. Under some genericity assumptions defining polynomials, we show that: (i) if there exists a point, our can get one by finite Lasserre-type relaxations; (ii) no detect its nonexistence.
Abstract This paper studies distributionally robust optimization (DRO) when the ambiguity set is given by moments for distributions. The objective and constraints are polynomials in decision variables. We reformulate DRO with equivalent moment conic constraints. Under some general assumptions, we prove to a linear problem psd polynomial cones. A Moment-SOS relaxation method proposed solve it. Its asymptotic finite convergence shown under certain assumptions. Numerical examples presented show...
This paper studies the rank-$1$ tensor completion problem for cubic order tensors. First of all, we show that this is equivalent to a special matrix recovery problem. We propose both nuclear norm relaxation and moment methods solving resulting The sometimes get completion, while it does not. When fails, apply hierarchy semidefinite programming relaxations solve can always or detect its nonexistence. In particular, when strongly completable, be solved by an iterative formula. Therefore, much...
Fuzzy nonlinear equation (FNLE) plays an important role in many fields, including mathematics, engineering, statistics and so on. How to solve its numerical solution is interesting problem. A hybrid conjugate gradient algorithm (HCGA) was proposed for solving FNLE. First, the parametric form of translated into equivalent unconstrained optimization problem (UOP). Then, HCGA applied corresponding Convergence proved. Finally, examples were given illustrate efficencies HCGA. The comparative...
Classification of network traffic using port-based or deep packet-based analysis is becoming increasingly difficult with many peer-to-peer(P2P) applications dynamic port numbers, especially in massive data streams. In view the problem that traditional method cannot be self-learning and self-evolving networks, this paper proposed an abnormally encrypted detection based on machine learning behavior characteristics, approach can not only identify unknown abnormal traffic, but eliminate specific...
The C&C Channel is an indispensable characteristic of botnet. Recognizing and blocking the great importance to eliminate threats To overcome limitation major behavior based methods, we propose a new ensemble anomaly approach, which only uses normal traffic for training. It consists two detectors profile analysis deviations from different aspects. has advantages reducing false alarms traditional improving detection performance. We evaluated it on 5 datasets achieved good
A regenerative braking control strategy is proposed for an electrical-four-wheel-drive (e-4WD) hybrid vehicle. The e-4WD powertrain consists of engine, a motor/generator (MG), and automatic transmission (AT) on the front axle, two in-wheel motors (IWMs) rear axle. Pure with MG IWMs focused in this article, which very common mild scenario. Energy efficiency vehicle motion stability are both considered design strategy. With quadratic programming (QP)-based allocation algorithm, downshifting...
There has been a growing interest in alignment-free methods for phylogenetic analysis using complete genome data. Among them, CVTree method, feature frequency profiles method and dynamical language approach were used to investigate the whole-proteome phylogeny of large dsDNA viruses. Using data set viruses from Gao Qi (BMC Evol. Biol. 2007), results based on compared Yu et al. 2010). In this paper, we first apply Wu (Proc. Natl. Acad. Sci. USA 2009) compare our with those method. Then...