个人简介
许鋆，女，1983年出生于江西湖口，2005年毕业于哈尔滨工业大学，同年进入清华大学，2010年6月获控制科学与工程博士学位。2010至2012在清华大学从事博士后研究，2013-2014获国家留学基金委资助在荷兰代尔夫特理工大学从事博士后研究。2012年7月－2017年6月在中国石油大学（北京）工作，任讲师，副教授，硕士生导师。2017年7月至今任哈尔滨工业大学（深圳）副教授、硕士生导师。
教育经历
2005.9-2010.6 清华大学，自动化系，博士
2001.9-2005.6 哈尔滨工业大学，实验学院，控制科学与工程系，学士
研究与工作经历
2012.7-2017.6 中国石油大学（北京），自动化系，讲师，副教授
2013.11-2014.11 荷兰TU Delft，博士后
2010.7-2012.6 清华大学，自动化系，博士后
科研项目
国家自然科学基金委员会, 面上项目, 62173113, 基于可解释的分片线性建模的低复杂度预测控制, 2022-01-01 至 2025-12-31, 57万元, 在研, 主持
国家自然科学基金委员会, 联合基金项目, U1813224, 多移动操作机器人协同操作与控制方法与技术研究, 2019-01-01 至 2022-12-31, 90/290万元, 主要参与人
广东省基础与应用基础研究基金委员会, 广东省自然科学基金-面上项目, 2022A1515011584, 基于分 布式随机预测控制的多移动机器人协同运动规划, 2022-01 至 2024-12, 10万元, 在研, 主持
深圳市科技创新委员会, 稳定支持面上项目, GXWD20201230155427003-20200821173613001, 基于分片线性建模与优化的智能楼宇控制, 2021-01 至 2022-12, 40万元, 主持
近期论文
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Journal
J. Xu, Q. Tao, Z. Li, X. Xi, J. A. K. Suykens, S. Wang. Efficient hinging hyperplanes neural network and its application in nonlinear system identification, Automatica, Volume 116, June 2020, 108906.
Y. Huang, J. Xu*, J. Liu, Y. Lou. Economic model predictive control based on lattice trajectory piecewise linear model for wastewater treatment plants, Journal of Process Control, 2023, 124: 142-151
J. Wang, J. Xu*, S. Wang. Lattice trajectory piecewise linear method for the simulation of diode circuits, IEEE Transactions on Circuits and Systems--I: Regular Papers, 2021, 68(5): 2069-2081.
Q. Tao, Z. Li, J. Xu*, S. Lin, B. De Schutter, J. A. K. Suykens. Short-term traffic flow prediction based on the efficient hinging hyperplanes neural network. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(9): 15616-15628.
X. Liang, J. Xu*. Biased ReLU neural networks, Neurocomputing, 2021, 423: 71-79.
X. Luo, J. Xu*, M. Zhang. Batch to batch optimal control based on MIMO AHH prediction and Kalman filter correction, Optimal Control, Applications and Methods, accepted.
J. Xu, T. J. J. van den Boom, B. De Schutter, S. Wang, Irredundant lattice representations of continuous piecewise affine functions, Automatica 70 (2016) 109-120.
J. Xu, T. J. J. V. den Boom, B. De Schutter, X. L. Luo, Minimal conjunctive normal expression of continuous piecewise affine functions, IEEE Transactions on Automatic Control 61 (5) (2016) 1340-1345.
于洋，许鋆，罗雄麟. 预测控制约束边界效应与解决方法研究，自动化学报，40(9) (2014) 1922-1932.
J. Xu, X. Huang, X. Mu, S. Wang, Model predictive control based on adaptive hinging hyperplanes model, Journal of Process Control 22 (10) (2012) 1821–1931.
X. Huang, J. Xu, S. Wang, C. Xu, Minimization of the k-th maximum and its application on LMS regression and VaR optimization, Journal of the Operational Research Society 63 (11) (2012) 1479–1491.
X. Huang, J. Xu, S. Wang, Exact penalty and optimality condition for nonseparable continuous piecewise linear programming, Journal of Optimization Theory and Applications 155 (1) (2012) 145–164.
X. Huang, J. Xu, S. Wang, Nonlinear system identification with continuous piecewise linear neural network, Neurocomputing 77 (1) (2012) 167–177.
X. Huang, J. Xu, X. Mu, S. Wang, The hill detouring method for minimizing hinging hyperplanes functions, Computers & Operations Research 39 (7) (2012) 1763–1770.
X. Huang, J. Xu, S. Wang, Parameters estimation of hinging hyperplanes using median squared error criterion, International Journal of Control, Automation and Systems 9 (4) (2011) 627–635.
J. Xu, X. Huang, S. Wang, Adaptive hinging hyperplanes and its applications in dynamic system identification, Automatica 45 (10) (2009) 2325–2332.
Conference Proceedings
J. Xu, S. Wang. Lattice piecewise affine representation on convex projection regions, in Proceedings of 2019 IEEE Conference on Decision and Control, pp. 7240-7245.
Y. Wang, Z. Li, J. Xu* and J. Li, Multilevel Lattice Piecewise Linear Representation and Its Application in Explicit Predictive Control, in Proceedings of the 2019 Asian Control Conference, pp. 1066-1071.
Q. Tao, J. Xu*, J. A. K. Suykens, S.Wang, Fast adaptive hinging hyperplanes, in Proceedings of 2018 IEEE Conference on Decision and Control, pp. 1482-1487.
Q. Tao, J. Xu*, S. Wang, L. Li, An improved coordinate update method for the identification of adaptive hinging hyperplane models, in Proceedings of the 2018 10th International Conference on Computer and Automation Engineering, 2018, pp. 102-106.
L. Qin, J. Xu*, X. Luo. Fast Adaptive Classifier based on a Stepwise algorithm, in Proceedings of the Proceedings of the 37th Chinese Control Conference, pp. 9136-9141.
J. Xu, X. Xi, S. Wang, Optimization based on adaptive hinging hyperplanes and genetic algorithm, in: Proceedings of the 2014 IEEE Congress on Evolutionary Computation (CEC), 2014, pp. 2040–2046.
J. Xu, T. J. J. van den Boom, B. D. Schutter, Irredundant lattice piecewise affine representations and their applications in explicit model predictive control, in: Proceedings of the IEEE Conference on Decision and Control (CDC), 2014, pp. 4416–4421.
J. Xu, X. Huang, S.Wang, Local optimality for hinging hyperplanes-based model predictive control, in: Proceedings of the 18th IFAC World Congress, 2011, pp. 5519–5524.
J. Xu, X. Huang, S. Wang, Stability analysis of planar continuous piecewise linear systems, in: Proceedings of 2010 American Control Conference (ACC), 2010, pp. 2505–2510.
X. Huang, J. Xu, S. Wang, Identification algorithm for standard continuous piecewise linear neural network, in: Proceedings of 2010 American Control Conference (ACC), 2010, pp. 4931–4935.
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