非线性复杂系统的动态行为分析，包括神经网络系统、智能交通系统等

学术论文部分代表作：

[1] Xiaohui Xu^(#)(徐晓惠), Huanbin Xue ^(*), Yiqiang Peng, Jiye Zhang. Robust Exponential Stability Analysis of Switched Neural Networks with Interval Parameter Uncertainties and Time Delays [J]. Complexity, ID. 6318986, 2018. (SCI)

[2] Xiaohui Xu^(#)(徐晓惠), Huanbin Xue^(*), Yiqiang Peng, Quan Xu and Jibin Yang. Robust Exponential Stability of Switched Complex-Valued Neural Networks with Interval Parameter Uncertainties and Impulses [J]. Complexity, ID. 4981812, 2018. (SCI)

[3] Q. Xu^(#), X. Xu^(*)(徐晓惠, 通讯作者), S. Zhuang, J. Xiao, C. Song and C. Che. New complex projective synchronization strategies for drive-response networks with fractional complex-variable dynamics [J]. Applied Mathematics and Computation, 2018, 338: 552-566. (SCI, ESI (3%))

[4] Xiaohui Xu (徐晓惠), Quan Xu, Jibin Yang, Huanbin Xue, Yanhai Xu. Further research on exponential stability for quaternion-valued neural networks with mixed delays [J]. Neurocomputing, 2020, 400: 186-205. (SCI)

[5] Xiaohui Xu, Jibin Yang*, Quan Xu , Yanhai Xu and Shulei Sun. Exponential stability for delayed complex-valued neural  networks with reaction- diffusion terms [J]. Advances in Difference Equations [J]. Advances in Difference Equations,  2021:58. (SCI) 

[6] Xiaohui Xu(徐晓惠), Jibin Yang,Yanhai Xu. Mean Square Exponential Stability of Stochastic Complex-Valued Neural  Networks with Mixed Delays [J]. Complexity, Volume 2019, Article ID 3429326.

[7] Xiaohui Xu* (徐晓惠), Quan Xu, Yiqiang Peng, Jiye Zhang, Yanhai Xu. Stochastic exponential robust stability of delayed Complex-valued neural networks with Markova jumping parameters [J]. IEEE ACCESS, 2018(6): 839-849 (SCI)

[8] Xiaohui Xu* (徐晓惠), Jiye Zhang, Jizhong Shi. Dynamical behavior analysis of delayed complex-valued neural networks with impulsive effect [J]. International Journal of Systems Science，2017，48(4)：686-694.(SCI)

[9] Xiaohui Xu* (徐晓惠), Jiye Zhang, Quan Xu, Zilong Chen and Weifan Zheng. Impulsive disturbances on the dynamical behavior of complex-valued Cohen-Grossberg neural networks with both time-varying delays and continuously distributed delays [J]. Complexity, 2017, Article ID 3826729, 12 pages. (SCI)

[10] Xiaohui Xu* (徐晓惠), Jiye Zhang , Jizhong Shi. Exponential stability of complex-valued neural networks with mixed delays [J]. Neurocomputing, 2014, 128: 483-490. (ESI高被引论文 (1%), SCI)

[11] Xiaohui Xu*（徐晓惠）, Xiaofeng Yin, Jiye Zhang and Peng Wang. Stability of infinite dimensional interconnected systems with impulsive and stochastic disturbances [J].Abstract and Applied Analysis,Volume 2014,Article ID 471481, 14 pages. (SCI)

[12] Xiaohui Xu* (徐晓惠), Jiye Zhang, Lan Tang. String exponential stability with mode constraint of stochastic vehicle following systems[J]. ASME Journal of Dynamic Systems, Measurement, and Control, 2013, 135(6): 061011-1~061011-6. (SCI)

[13] Xiaohui Xu* (徐晓惠), Jiye Zhang, Stochastic Exponential Robust Stability of Interval Neural Networks with Reaction-Diffusion Terms and Mixed Delays[J],Communications in Nonlinear Science and Numerical Simulation, 2012, 17(12): 4780-4791.（SCI）

[14]Jibin Yang, Xiaohui Xu (徐晓惠,通讯作者), Yiqiang Peng, Jiye Zhang, Pengyun Song. Modeling and optimal energy management strategy for a catenary battery-ultracapacitor based hybrid tramway [J]. Energy, 2019,183:1123-1135.

[15] Jibin Yang, Xiaohui Xu (徐晓惠,通讯作者), Yiqiang Peng, Pengyi Deng, Xiaohua Wu, Jiye Zhang.Hierarchical energy management of a hybrid propulsion system considering speed profile optimization [J]. Energy, 2022,244, 123098. 

[16] Xiaohui Xu* (徐晓惠), Jiye Zhang, Weihua Zhang. Mean square exponential stability of stochastic neural networks with reaction-diffusion terms and delays [J]. Applied Mathematics Letters, 2011, 24(1): 5-11. (SCI)

[17] Jizhong Shi*, Jiye Zhang, Xiaohui Xu(徐晓惠) and Xuecai Yu. Stability analysis of stochastic interconnected systems by Vector Lyapunov function method [J]. Asian Journal of Control, 2015, 17(5): 1789-1797. (SCI)

[18] Quan Xu*, Shengxian Zhuang, Xiaohui Xu (徐晓惠), Chang Che, Yankun Xia. Stabilization of a class of fractional-order nonautonomous systems using quadratic Lyapunov functions [J]. Advances in Difference Equations, 2018, Article ID 14. (SCI, ESI (1%))

[19] 徐晓惠，施继忠，严 超，张继业，徐延海. 一类复值神经网络的随机指数鲁棒稳定性 [J]. 电子科技大学学报, 2019, 48(3). (EI)

[20] 徐晓惠, 徐全, 施继忠, 张继业, 陈子龙. 脉冲干扰复数域Cohen-Grossberg神经网络的稳定性 [J]. 西南交通大学, 2018, 53(4). (EI). 

[21]徐晓惠*, 张继业, 施继忠, 任松涛. 脉冲干扰时滞复值神经网络的稳定性分析[J].哈尔滨工业大学学报, 2016, 48(3): 166-170. (EI)

[22] 徐晓惠*,张继业, 张克跃.脉冲变时滞车辆纵向跟随系统的群指数性与控制[J]. 控制与决策, 2012, 27(9): 1293-1300. (EI)

[23]徐晓惠, 宋乾坤*, 张继业, 施继忠, 赵玲. 一类变时滞复数Cohen-Grossberg 神经网络的动态行为分析[J]. 应用数学和力学, 2017, 38(12): 1389-1398. (CSCD)

[24] 徐晓惠*, 张继业, 赵玲. 一类混合时滞复值神经网络的动态行为分析[J]. 西南交通大学学报, 2014, 49(3): 470-476. (EI)

[25] 杨继斌, 徐晓惠 (通信作者),  张继业,  宋鹏云.  燃料电池有轨电车能量管理策略多目标优化 [J]. 机械工程学报, 2018, 54(22): 153-159. 

[26] 杨继斌, 徐晓惠 (通信作者),  彭忆强, 张继业,  宋鹏云.  基于NSGA-Ⅱ算法的储能式有轨电车 复合电源参数优化设计[J]. 机械工程学报, 2020, 56(24): 181-189.  

主持或参加科研项目及人才计划项目情况：  

(1)四川省教育厅重点科研项目, 17ZA0364, 基于随机相互作用势的多车道交通流行为研究, 主持

(2)西华大学“青年学者”人才支持计划, 2017-2019, 车辆工程

(3)国家自然科学基金青年基金项目, 11402214, 具有不确定性的复值神经网络的动态行为分析, 主持

(4)国家自然科学基金面上项目, 51375402, 汽车有级自动变速器多性能综合最优个性化智能换挡规律,  主研  

  荣获称号

 四川省第12批‘学术和技术带头人后备人选’称号, 2018. 

2015   西华大学 优秀共产党员

2016   西华大学 ‘教育教学先锋岗位’称号

2018    四川省第12批‘学术和技术带头人后备人选’称号