王军
性别：女
学院：电气与电子信息学院
职称：教授
学位：工学博士
学历：研究生
毕业院校：西南交通大学
联系电话：**
电子邮箱：@qq.com
办公地点：行政楼308
通讯地址：四川省成都市郫县红光西华大学人
传真：
个人简介
教授，硕士生导师，工学博士，四川省教学名师，四川省师德标兵，四川省学术与技术带头人后备人选，中国自动化学会和中国电工技术学会理事，四川省电力电子学会副理事长，四川省“电力电子与电力传动”重点科学负责人， “四川省电力电子节能技术与装备高校重点实验室”主任。研究领域主要包括智能控制技术、膜计算、分布式电源和微电网管控技术、新型交流电机控制技术和电力电子节能技术等。在IEEE Tran. on Fuzzy Systems、Information Science、电子学报（英文版）等杂志发表100多篇学术论文，其中SCI、EI收录80余篇，授权专利5项，出版著作和教材6部。主持国家自然科学基金面上项目、科技部国际合作交流项目、教育部春晖计划、科技厅支撑项目和企业委托项目等几十项。获得省级奖励多项。
工作经历
1991年--至今，在西华大学（原四川工业学院）任教。2000年在加拿大北大西洋学院作短期访问，2006年在日本徳岛大学作短期访问。
教育经历
1984年9月--1988年7月，在重庆大学自动化系读本科，获得学士学位。1988年9月--1991年4月，在重庆大学自动化系读研究生，获得硕士学位。2002年3月--2006年1月，在西南交通大学电气工程学院读博士，获得博士学位。
研究方向
主要研究领域Main Research Interests
● 电气自动化 ● Electrical Automation
1.现代交流传动技术 1. Modern AC Drive
2.电力电子装置与系统 2. Power Electronic Equipment and System
3. 分布式电源与微网技术3. Distributed Generation and microgrid Technology
4.电能质量的检测与应用研究 4. Detection and Application of Power Quality
● 智能控制与工业过程控制与优化● Intelligent Control and Intelligent Systems
1.神经控制与模糊控制 1. Neurocontrol and Fuzzy control
2. 复杂过程建模，控制理论 2.Complex process modeling, Control theory
3. 计算机控制与优化 3. Computer control and optimization
● 生物信息学● Nature Computing and Bioinformatics
1.膜计算1. Membrane Computing
2. 神经网络2.Neural networks
学术成果
一、主持部分科研项目
1、国家自然科学基金面上项目：模糊与自适应膜计算模型及算法研究（2012--2015）
2、国家自然科学基金面上项目：模糊与自适应膜计算模型及算法研究（2015--2018）
3、科技部中欧中小企业节能减排科研合作资金项目：分布式电源和储能装置接入（2011--2014）
4、四川省科技厅支撑项目：分布式光伏发电系统串联型微型变换器研制（2013-2015）
5、四川省经济与信息委员会重点装备项目：多种分布式电源与储能协调控制系统的研制（2014-2016）
6、四川省科技厅四川省围绕产业链部署创新链及公益类重大科技项目子项目：超高压电驱动特大型全液压挖掘机研究（2014-2017）
7、四川省科技厅四川省重大产业类科技项目子项目：中温热电材料Half Heusler合金及器件量产关键技术研究（2015-2017）
8、教育部春晖计划项目：膜系统计算框架下图像融合新算法研究（2014--2015）
9、四川省教育厅成果培育项目：永磁直驱风光互补微网系统运行控制与能量优化管理关键技术研究及应用（2013-2015）
10、四川省学术和技术带头人培养基金：基于遗传优化的数字水印新方法研究（2008-2010）
11、四川省教育厅项目：新型高压同步断路器若干关键技术研究（2007-2011）
12、智能电网测控技术合作研究，企业委托（2011-2015）
13、1000MW级汽发定子出线套管合作研制，企业委托（2011-2013）
14、新型开关磁阻电机智能控制器开发，企业委托（2015-2017）
15、全自动热熔焊机控制系统研制，企业委托（2014-2016）
二、发表部分论文
[1] Wang J, Shi P, Peng H. Membrane computing model for IIR filter design. Information Sciences, Vol. 329, 2016:164-176.
[2] J Wang，H Peng，TU Min,Mario J. Pérez-Jiménez, Shi P. AFault Diagnosis Method of Power Systems Based on an Improved Adaptive Fuzzy Spiking Neural P Systems and PSO Algorithms, Chinese Journal of Electronics, 电子学报（英文版）, 25(2), 2016: 320-327
[3]MingJ,WangJ,ChenK,etal.TissuePSystemCombinedwithProducer/ConsumerandItsApplicationinMicroGridEconomicOperation.JournalofComputationalandTheoreticalNanoscience,Vol.13,2016:3936-3941.
[4] Chen K, Wang J, Li M, et al. Cell-Like Fuzzy P System and Its Application of Coordination Control in Micro-grid[C]//Bio-Inspired Computing-Theories and Applications. Springer Berlin Heidelberg, 2015: 18-32.
[5] Wang J, Chen K, Li M, et al. Cell-Like Fuzzy P System and Its Application in Energy Management of Micro-Grid[J]. Journal of Computational and Theoretical Nanoscience, Vol.13, No.6 2016: 3643-3651.
[6] Ming Li, Jun Wang, Yanxiang Yang, Zhang Sun, Yankun Xia and Ke Chen. Reactive Power Sharing Using Multi-Microgrid Coordination Controller[J]. ICIC Express Letters, 2016, 10(2):447-454.
[7] 唐静,王军,宋潇潇,刘占千.基于双PI的SRM直接瞬时转矩控制系统的研究.电力电子技术,Vol.50, No. 8,2016:71-74.
[8] Jing Tan, Yanxiang Yang, Jun Wang, Ke Chen, Hong Peng and Ming Li. P Systems-Based Fuzzy C-Means Clustering Algorithm With Local Spatial Information for Image Segmentation [J]. ICIC Express Letters, 2016, 10(4): 839-848.
[9] 刘占千,唐静,杨燕翔,王军,宋潇潇.一种改进的开关磁阻电机模糊自适应直接转矩控制[J].微特电机, Vol.44, No.5, 2016:71-74.
[10] Juan Luo, Jun Wang, Peng Shi, Huayong Luo, Zhang Sun, Tao Liu. MICRO-GRID ECONOMIC OPERATION USING GENETIC ALGORITHM BASED ON P SYSTEMS, ICIC Express Letters, 9(2).2015, February:609-617.
[11] Tingting He, Jun Wang, Zhang ,Tao Liu. Quantum Particle Swarm Optimization Based on P Systems for Applications in the Economic Operation of Micro-grid. Proceeding of the 2015 Chinese intelligent automation conference, SpringerBerlinHeidelberg, Vol. 336, 2015:521-529.
[12] Ke Chen, Jun Wang, Zhang Sun, Juan Luo, Tao Liu. Programmable Logic Controller Stage Programming Using Spiking Neural P Systems[J]. Journal of Computational and Theoretical Nanoscience, 12(7), 2015:1292-1299.
[13] Ke Chen, Jun Wang, Zhang Sun, Juan Luo, Tao Liu. The application of spiking neural P Systems for PLC programming. Communications in Computer and Information Science, Vol. 472, 2014:11-15.
[14] Hong Peng, Jun Wang, Mario J. Pérez-Jiménez;Agustín Riscos-Nú?ez. An unsupervised learning algorithm for membrane computing, Information Sciences, 304, 2015: 80-91.
[15] Hong Peng, Jun Wang, Mario J. Pérez-Jiménez. Optimal multi-level thresholding with membrane computing, Digital Signal Processing, 37, 2015: 53-64.
[16] Hong Peng, Jun Wang, Peng Shi, Agustín Riscos-Nú?ez, Mario J. Pérez-Jiménez. An automatic clustering algorithm inspired by membrane computing, Pattern Recognition Letters, 68, 2015: 34-40.
[17] Tao Wang, Gexiang Zhang, Junbo Zhao, Zhengyou He, Jun Wang, Mario J. Pérez-Jiménez. Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems[J]. IEEE Trans. on Power Systems, 30(3), 2015: 1182-1194
[18] Hong Li, Jun Wang, Zhang Sun,Ming Li, Chaorun Feng. Study on Improved DC Bus Series-Connection of Microconverter System, Springer Berlin Heidelberg, Vol. 338, 2015:571-579(EI收录号：20**9)
[19] Chao Gu, Jun Wang, Zhang Sun, Hong Li, Tao Liu. RESEARCH ON INTERMITTENT SCANNING ALGORITHM WITH A VARIABLE STEP SIZE FOR MAXIMUM POWER POINT TRACKING,ICIC Express Letters, 9(2), 2015:439-446.
[20]王汇灵, 王军, 崔晓荣, 林莉, 孙章. 一种改进的逆变器并联控制方法研究[J]. 电源技术, 2015, 39(2): 319-321.
[21]Tingting He, Jun Wang, Zhang ,Tao Liu. Quantum Particle Swarm Optimization Based on P Systems for Applications in the Economic Operation of Micro-grid. Proceeding of the 2015 Chinese intelligent automation conference, Vol. 336, 2015.9: 521-529.
[22] M. Tu, J. Wang*, H. Peng, P. Shi. Application of Adaptive Fuzzy Spiking Neural P Systems in Fault Diagnosis Model of Power Systems.Chinese Journal of Electronics(电子学报（英文版）), 23 (1), 87-92, 2014.
[23] Tu Min, Wang Jun,Fan Yang, Juan Luo. Application of artificial fish swarm algorithm based on P systems in economic load dispatch of power system. ICIC Express Letters, Vol.8, No.2, 2014: 409-414.
[24] Tao Liu, Jun Wang, Zhang Sun, Juan Luo, Tingting He, Ke Chen. An Improved Particle Swarm Optimization and Its Application for Micro-grid Economic Operation Optimization. Communications in Computer and Information Science, Vol. 472,2014: 276-280.
[25] Ke Chen, Jun Wang, Zhang Sun, Juan Luo, Tao Liu. The Application of Spiking Neural P Systems for PLC Programming. Communications in Computer and Information Science, Vol. 472,2014: 11-15
[26] Hong PENG, Jiarong ZHANG, Yang JIANG, Xiaoli HUANG, Jun WANG. DE-MC: A membrane clustering algorithm based on differential evolution mechanism. Romanian Journal of Information Science and Technology, 2014: 76-88.
[27] Hong Peng, Jun Wang, MarioJ.Pérez-Jiménez, AgustínRiscos-Nú?ez. The framework of P systems applied to solve optimal watermarking problem. Signal Processing, 101, August, 2014: 256–265.
[28] X. Song, J. Wang*. An approximate algorithm combining P systems and active evolutionary algorithm for traveling salesman problems, International Journal of Computers, Communications and Control, 2014.
[29] Tao Wang, Gexiang Zhang?, Junbo Zhao, Zhengyou He, Jun Wang and Mario J. P′erez-Jim′enez. Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems, IEEE TRANSACTIONS ON POWER SYSTEMS, 2014: DOI: 10.1109/TPWRS. 2014..
[30] Yang Jiang, Hong Peng, Xiaoli Huang, Jiarong Zhang, Peng Shi. A NOVEL CLUSTERING ALGORITHM BASED ON P SYSTEMS. International Journal of Innovative Computing, Information and Control (ICIC International c 2014), 10(2), 2014 : 753-765.
[31] Hong PENG, Yufan YANG, Jiarong ZHANG, Xiaoli HUANG, Jun WANG. A Region-based Color Image Segmentation Method Based on P Systems. Romanian Journal of Information Science and Technology, 17( 1) , 2014:63-75.
[32] Zulin Zhang, Xinzhong Yi , Hong Peng. A novel framework of tissue membrane systems for image fusion, Bio-Medical Materials and Engineering, 24, 2014:3259–3266.
[33] Xiaoli Huang, Hong Peng, Yang Jiang, Jiarong Zhang, Jun Wang. PSO-MC: A Novel PSO-Based Membrane Clustering Algorithm. ICIC Express Letters,2014, 8(2):497-503.在ICICIC2013国际学术会议上年度优秀论文奖
[34] 崔晓荣, 王军, 林莉, 孙章, 田攀. 改进汉明Burg和稳健支持向量机的间谐波检测. 电力系统及其自动化学报, 26(6), 2014: 30-36.
[35] 陈金伟, 王军, 孙章, 喻贝贝. 基于直接电流控制的永磁同步发电机控制研究[J]. 电力电子技术, 48(9), 2014: 16-20.
[36] 谢敏, 王军, 何建平,罗华永,孙章. 一种改进的分布式发电孤岛检测方法. 电测与仪表，Vol.51，No.18，2014：20-24.
[37]曹太强, 王军,孙章, 罗谦. 有源钳位正激二次侧谐振PWM BUCK-Boost型变换器. 电工技术学报, 2014, 29(4): 10-18.
[38]曹太强, 王军,孙章, 电机与控制学报, 2014, 29(4): 10-18.
[39]Zhang Sun, Jun Wang, Quan Li, Li Lin, Huiling Wang. Research on an Improved Maximum Power Point Tracking Algorithm for Photovoltaic Systems, ICIC Express Letters, Vol.7, No.3, 2012: 1061-1066.
[40] H. Wang, J. Wang*, M. Wang, X. Cui, L. Lin, Z. Sun. Performances analyzing of parallel inverter system based on an improved fuzzy control, 2013 International Conference on Advanced Engineering and Materials, 302(2013)，Jan. 27-28, 671-678, Shanya, 2013.
[41] 安金鑫, 王军. 基于VC++和LabWindows/CVI的多通道虚拟示波器设计, 南开大学学报, 46(1),2003: 12-16.
[42] 喻贝贝, 王军. 功率协调控制在双馈风力发电系统中的应用, 电力电子技术, Vol. 47, No.7.2013: 58-60.
[43] 安金鑫, 王军, 孙章. 基于分布式网络的并行多通道数据采集系统设计, 电测与仪表, 50(6), 2013: 109-114.
[44] Jun Wang, Tao Wang, Peng Shi, Min Tu, Fan Yang. Membrane Computing Optimization Algorithm based on Mutated PSO and Its Application in Nonlinear Control Systems. International Journal of Innovative Computing, Information and Control. Vol.9, No.6, June, 2013:2963-2978.
[45] Jun Wang, Peng Shi, Hong Peng, Mario J. Pérez-Jiménez, and Tao Wang. Weighted Fuzzy Spiking Neural P Systems.IEEE Transactions on Fuzzy Systems, Vol.21, No.2, 2013:209-220. Impact Factor: 4.26（SCI:118CX）(ISNN:1063-6706)
[46]Jun Wang and Hong Peng. Adaptive Fuzzy Spiking Neural P Systems for Fuzzy Inference and Learning. International Journalof Computer Mathematics. Vol.90, Issue 4, 2013: 857-868.
[47]Tu Min, Wang Jun, Song XiaoXiao, Yang Fan. Artificial Fish Swarm Algorithm Based on P Systems, ICIC Express Letters, Part B: Applications, Vol.4, No.3, 2013: 747-754.
[48]H. Peng, J. Wang, M. J. Pérez-Jiménez and P. Shi, A novel image thresholding method based on membrane computing and fuzzy entropy, Journal of Intelligent and Fuzzy Systems,24(2), 2013:229-237:.
[49]Hong Peng, Jun Wang, Zulin Zhang, , Peng Shi. Audio Watermarking Framework Using Multi-objective Particle Swarm Optimization. International Journal of Innovative Computing, Information and Control,Vol.9, Issue 6, June2013.
[50] H. Peng, J. Wang, Fuzzy reasoning spiking neural P system for fault diagnosis, Information Sciences, Vol.235, 2013: 106-116.
[51]TaoWang,JunWang,HongPeng,MinTu.OptimizationofPIDControllerParametersBased onPSOPSAlgorithm, ICIC Express Letters, 6(1).2012: 273-280 (Best paper)在ICICIC2011国际学术会议上年度优秀论文奖
[52] 严晓丹，王军，方春恩，曹林. 一种改进的Flat-top窗电力系统谐波分析算法. 电力系统保护与控制, 40(8), 2012: 49-56.
[53] 李建坤，何建平，王军，韩冬军，张俊. 基于恒定开关频率的十二区段DTC系统的研究[J], 电气传动, 42(2), 2012: 22-25.
[54] 崔晓荣，王军，曹林，曹太强，王汇灵. 电力系统间谐波检测方法现状与发展趋势. 电测与仪表, 49(5), 2012: 6-10.
[55] Li Lin, Jun Wang, Taiqiang Cao, Xiaorong Cui, Huiling Wang, Zhang Sun.Batteries State-of-chargeEstimationof Stand-alone Photovoltaic System based on Evolution of Hybrid Particle Filtering. ICIC Express Letters, Part B: Application, 3(4).2012, August: 839-846.
[56] 孙章，王军，李全，王汇灵，喻贝贝，林莉. 基于FPGA的微电网并网控制器的设计与实现，电力电子技术,Vol.46, No.10, 2012:17-19.
[57] 方欢欢, 舒欣梅,王军，王明清. The Design and Simulation of Voltage and Reactive Power Fuzzy, Advanced Materials Research, Vols. 591-593, 2012:1441-1445
[58] B. Wang, P. Shi, H.R. Karimi, J. Wang. H∞ robust controller design for the synchronization of master-slave chaotic systems with disturbance input, Modeling, Identification and Control, 33(1), 27-34, 2012.
[59] B. Wang, P. Shi, H.R. Karimi, J. Wang, Y. Song. Fuzzy variable structure control for uncertain systems with disturbance, Mathematical Problems in Engineering, 2012, 1-13, 2012.
[60] Jun Wang, Zhou Li, Hong Peng, Geixiang Zhang. An extended spiking neural P system for fuzzy knowledge representation. International Journal of Innovative Computing, Information and Control, 2011, 7(
[61] Jun Wang, Hong Peng, Peng Shi. An optimal image watermarking approach based on a multi-objective genetic algorithm, Elsevier：Information Sciences, 181(24), 2011:5501-5514..
[62] 韩冬军, 王军,李川, 舒欣梅, 李建坤. 一种新型永磁真空开关控制器的研制. 电测与仪表, 48(4), 2011: 81-85.
[63] 张晓勇, 王军, 张广军, 王英, 李川. 一种新的分布式供电三相逆变器的控制研究. 低压电器, (5),2011,: 23-27.
[64] Xiaodan Yan, Shibing Tan, Jun Wang, Ying Wang. A High Accuracy Harmonic Analysis Method Based on All-Phase and Interpolated FFT in Power System, 2011 Asia-Pacifi c Power and Energy Engineering Conference, Vol.2, March, 2011:1-4.
[65] Tao Wang, Jun Wang, Hong Peng, Hao Wang. Knowledge Representation and Reasoning Based on FRSN P System. Proceedings of the 9thWorld Congress on Intelligent Control and Automation, June, 2011: 849-854.
[66] 张晓勇, 王瑞, 王军, 方春恩. 高压同步断路器的模糊控制研究, 电工电气,160(4), 2011: 5-9.
[67]Hong Peng, Jun Wang. Optimal Audio Watermarking Scheme using Genetic Optization. Annals of Telecommunications-Annales Des Telecommucations, Vol. 66, No. 5-6, 2011: 307-318..
[68] BoWang,JunWang XinzhiLiu,ShoumingZhong; New results on BIBO stability analysis for a class of neutral delay systems; Journal of the Franklin Institute;Vol 348,No2,2011:426–437
[69]Wang, B.;Wang, J.; Zhong, S.M. Impulsive Synchronization Control for Chaotic Systems, Procedia Engineering, Vol.15,2011: 2721 – 2726
[70] Jun Wang, Hong Peng. Fuzzy knowledge representation based on an improving spiking neural P system, The 6th International Conference on Natural Computation (ICNC'10), August 2010, Yantai, China: 3012-3015
[71] T. Wang, J. Wang, H. Peng, Y. Deng. Knowledge representation using fuzzy spiking neural P system. 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications, Sept. 23-26, Volume-1, 586-590, Changsha, China, 2010.
[72] Y. Deng, J. Wang, X. Yan. T-S fuzzy system identification based on support vector machine, The 8th IEEE International Conference on Control & Automation, June 9-11, 1098-1102, Xiamen, 2010.
[73] 王英, 王军, 方春恩. 基于DSP的电能质量监测系统设计, 电力系统通信,31(6), 2010: 46-50.
[74]李川, 王军, 张晓勇, 舒欣梅, 韩冬军. 基于数字信号处理和ATT7022A的低压动态无功补偿控制器设计, 低压电器, 23, 2010. 12：45-48
[75] 王英, 王军, 母秀清. 电能质量检测IED中的数据处理, 自动化仪表, 31(11), 2010: 11-14.
[76] 张晓勇, 王军, 李川, 王英. 基于三维空间矢量中γ分量控制的三相四桥臂逆变器, 电力自动化设备, 30(12), 2010: 46-50
[77] 张晓勇, 吕冰, 王军, 李心怡, 邓延丽. 基于改进滞环控制技术的四桥臂逆变器, 电源技术, 2010. 34(11): 1172-1175
[78] Hong Peng, Jun Wang, Zulin Zhang, Honghong Chen, XueZhen Zhang. Energy Quantization Modulation Approach for Image Watermarking. Journal of Computational Information Systems, 6(8), 2010: 2675-2682.
[79] Hong Peng, Jun Wang, Gexiang Zhang, Marin Cheorghe, Timed Spiking Neural P System, The IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2010), Changsha, 2010, 9: 591-595
[80] Hong Peng, Jun Wang, Adaptive Spiking Neural P Systems，The 6th International Conference on Natural Computation (ICNC'10), August 2010, Yantai, China: 3008-3011
[81] Hong Peng, Jun Wang, Weixing Wang. Image watermarking method in multiwavelet domain based on support vector machines. Journal of Systems and Software, 83, 2010: 1470-1477.
[82] 彭宏, 王军, 王卫星, 一种基于块间关系的彩色图像水印方法, 计算机工程与应用, 46(23), 2010: 198-202
[83] 彭宏, 王军. 基于核判别分析的图像水印方法.小型微型计算机系统, vol. 31, No.12, 2010.12: 2491-2496.
[84 吴华斌, 王军, 10KV低功耗光电电流互感器的研究, 电力电子技术,43 (9), 2009: 40-41
[85] 丁传东, 王军, 滑模变结构控制在低速交流伺服系统的应用, 微特电机, 36(2), 2008：38-39,53
[86] 武卯泉, 王军, 基于模型参考自适应的无速度传感器研究,电气传动, 38(10), 2008: 13-15, 38
[87] Wang Jun, Peng Hong, Wu Huabing, Wen Qi. The research of speed control for induction motor based on dynamic recurrent neural network. In Proceedings of 2008 International Conference on Electrical Machines and Systems, 2008: 1511-1514.
[88] Jun Wang, Cheng Yanyun, Liu Chao, Xiao Hongmei. A compensation algorithm of ethernet time delay based on model predictive control. IEEE International Conference on Industrial Technology, 2008: 1-3.
[89] Fanman Meng, Hong Peng, Zheng Pei, Jun Wang. A novel blind image watermarking scheme based on support vector machine in DCT domain. In Proceedings of 2008 International Conference on Computational Intelligence and Security, 2008:16-20.
[90] Xun Wang, Hong Peng, Deyu Hu, Jun Wang. A Robust Watermarking Scheme Based on Audio Features in Multiwavelet Domain. In Proceedings of 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application (PACIIA 2008), 2008:408-412
[91] 王军, 肖建. 高性能永磁同步电机位置控制策略,微特电机, 35(9), 2007: 31-33
[92] 郭忠林, 王军, 何建平, 基于CAN总线的电机监控系统设, 电气自动化, 29(6), 2007: 141-143
[93] Jun Wang, Hong Peng and Jian Xiao. Identification of Dynamic Systems Using Recurrent Fuzzy Wavelet Network, In In Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-liang Lu, Hujun Yin, editors,,Springer Lecture Notes in Computer Science, No. 3972, 2006: 802-807.
[94] 王军, 肖建. 尺度核支持向量回归的非线性系统辩识, 系统仿真学报, 18(9), 2006: 2429-2432
Wang Jun, Peng Hong, Xiao Jian. Nonlinear system identification using scaling kernel support vector regression. Journal of System Simulation, 18(9), 2006.: 2429-2432
[95] Wang Jun, Peng Hong, Xia Ling. A fuzzy-wavelet-network-based position control for PMSM. In Proceedings of CES/IEEE 5th International Power Electronics and Motion Control Conference, 2006: 899-902.
[96] Jun Wang, Hong Peng, Yanyun Chen, Zhiqiang Song. Adaptive fuzzy wavelet control for a class of uncertain nonlinear systems. In Proceedings of 2006 International Conference on Machine Learning and Cybernetics, 2006: 288-292.
三、部分授权专利：
1、发明专利：王军，彭宏，罗娟, 孙章等。基于FPGA的微电网能量控制方法、FPGA处理器及系统，专利号：ZL 7.8, 授权时间: 2016.3.30
2、发明专利：王军，辜超，黄荣辉, 孙章等。一种光伏发电控制方法、处理器及系统, 专利号：8.0，授权时间: 2016.6.8
3、授权新型实用专利：王军，李虹，孙章等。一种有源箝位升压隔离串联型微型变换器装置. 专利号: ZL9, 授权时间: 2016.2.10
4、授权新型实用专利：张峻峰,王军，孙章等，一种温控式温差发电试验系统. 专利号: ZL2.x, 授权时间: 2 016.5.11，
5、发明授权专利：王军，王涛，杨帆，彭宏，涂敏.一种FPGA处理器及PID膜优化神经网络控制器,授权时间: 2014.4.10 ，专利号: ZL2.2。
四、著作
1、王军. 永磁同步电机智能控制技术, 成都: 西南交通大学出版社,2015. 11, 共178页, 212千字, ISBN 978-7-5643-4076-6。
Wang Jun. Intelligent control technology of permanent magnet synchronous motor, Chengdu: Southwest Jiao Tong University press, 2015.11
2、王军, 龙驹. 异步电机智能控制技术, 成都: 西南交通大学出版社,2014. 11
教学工作
主要承担“自动控制原理”、“现代电气传动控制技术”、“分布式发电与微网技术”、“电力电子学”、“现代控制理论与应用”等多门本科生、研究生课程的教学工作，同时在“电气工程导论”、“电气工程前沿讲座”中承担部分教学工作。承担本科生毕业设计。
荣誉奖励
四川省教学名师，四川省师德标兵，四川省学术与技术带头人后备人选。
社会兼职
中国自动化学会理事
中国电工技术学会理事
四川省电力电子学会副理事长
成都市自动化研究会副理事长。
