学术论文

    [1].Wang, T., Li,Y, Xiang, W Observer-Based Fault Detection for Large-Scale Systems with Event-Triggered Protocols[J]. ISA Tansactions,2025,158:197-207. 

 [2].Yang Y., Wang T, Xiang W. Neural transition system abstraction for neural network dynamical system models and its application to computational tree logic verification [J]. Neural Networks, 2025:107261:1-12.

 [3].Tao Wang, Jiaping Liao, Jing jin. Robust decoupled cruise control design of the high-speed train as uncertain large-scale system. IEEE Transactions on Intelligent Transportation Systems[J], 2024, 24(11): 16096-16106.

[4].Yang Y, Wang T, Xiang W. A distributed neural hybrid system learning framework in modeling complex dynamical systems[J].IEEE Transactions on Neural Networks and Learning Systems, 2024. DOI:10.1109/TNNLS.2024.3417330.

 [5].Wang, T.,Liao, P. Robust cruise control for large-scale system of high speed train with parameter uncertainties and time-varying delay[J].International Journal of Control, Automation, and Systems,2024, 22(10): 3083-3094.

[6].Tao Wang, Yapeng Li, Weiming Xiang. Interval Observer Design for Safety Monitoring of   Learning-Enabled Nonlinear Systems with Neural Networks[J].International journal of Control, 2024,97(10): 2420–2432. 

[7].Wang, T., Yang, Y., & Xiang, W. Computationally efficient neural hybrid automaton framework for learning complex dynamics[J]. Neurocomputing, 2023,562, 1-12.

[8].Tao Wang, Yapeng Li, Weiming Xiang. Design of interval observer for continuous linear large-scale systems with disturbance attenuation[J]. Journal of the Franklin Institute, 2022, 359,3910-3929.

[9].Yejiang Yang, Tao Wang, Weiming Xiang. Guaranteed approximation error estimation of neural networks and model modification[J]. Neural Networks, 2022,151,61-69.

[10].Tao Wang, Jikun Li, Yuwen Li. Robust Sampling-based Switching Design for Piecewise Affine Systems with Application to DC-DC Converters[J]. IET Control Theory & Applications, 2019, 13 (9) :1404-1412.

[11].Tao Wang, Weiming Xiang. Necessary and sufficient condition to stability of discrete-time delay systems[J]. Journal of the Franklin Institute, 2019,356(16): 9788-9803.

[12].Tao Wang, Xuehai Wang, Weiming Xiang. Reachable set estimation and decentralized control synthesis for a class of large-scale switched systems[J]. ISA Transactions, 2020,103:75-85.

[13].Tao Wang, Weiming Xiang, Yuwen Liu. Switching stabilizing control of  VSC-HVDC transmission systems [J]. IET Control Theory & Applications, 2020,14(16):2280-2290.

[14].Tao Wang, Xuehai Wang, Weiming Xiang. Reachable set estimation and decentralized control synthesis of large‐scale switched systems under mixed switching [J]. International Journal of Robust and Nonlinear Control, 2020, 30(16):6909-6930.

[15].Tao Wang, Jikun Li, Xiang He. One-cycle controlled quadratic buck converter[J]. International journal circuit theory and applications, 2018, 46(7): 1392-1406.

[16].Tao Wang, Jikun Li, Yuwen Li. Synergetic control of permanent magnet synchronous motor based on load torque observer[J]. Journal of Systems and Control Engineering, 2019, 233 (8) : 980-993.

[17].Tao Wang, Jikun Li, Yuwen Liu. The weighted synergetic speed control for single inverter parallel connected induction motors drive[J]. Journal of Systems and Control Engineering, 2020, 234 (2) : 257-271.

[18].Tao Wang, Jikun Li, Qiang Hou. Speed control of asynchronous motor based on improved deadbeat predictive algorithm [J]. Journal of Systems and Control Engineering[J], 2020,234 (9):1037-1049.

[19].Tao Wang, Qian Zhang. Optimal switching law design of periodic switching systems based on mode-dependent average dwell time[C], The 35th Chinese Control Conference[C], Chengdu, 2016, 5829-5834.

[20].Mingzhe Niu, Tao Wang, Qian Zhang. A new speed control method of induction motor[C]. The 35th Chinese Control Conference, Chengdu, 2016, 5712-5616.

[21].Mingliang Zhao, Tao Wang. A sliding mode and synergetic control approaches applied to Permanent Magnet Synchronous Motor[C]. The 2nd International Conference on Information Science, Computer Technology and Transportation, Guangzhou, 2017,1-13.

[22].Chenhao Zhang, Tao Wang, Jikun Li and Kaidan Xue. Synergetic control design of EMU parallel motor[C]. The 3nd International Conference on Electrical and Information Science Technologies for Rail and Transportation, Hangzhou, 2017,335-340.

[23].Yuwen Li, Tao Wang, Xijun Wang, Stabilizing switching control for DC-DC converter in two-stage photovoltaic grid connected inverters[C], The 5nd IEEE International Conference on Information, Cybernetics, and Computational Social Systems, Hangzhou, 2018, 387-392. 

[24].Tao Wang, Qiang Hou, Improved deadbeat predictive control of asynchronous motor[C], IEEE Conference on Industrial Electronics and Applications, Xi’an, 2019,1352-1356.

[25]. Jia-ping Liao, Tao Wang. Control design of high-speed train against uncertain parameters and external disturbances[C].The 3rd IEEE International Power Electronics and Application Conference and Exposition (IEEE PEAC), Guangzhou, 2022,231-236.

[26]. Zhongzhu Shao,Tao Wang. Accelerating Safety Verification of Neural Network Dynamical Systems Using Assured Compressed Models[C].35th Chinese Control and Decision

Conference (CCDC). 2023,4030-4035.

[27]. Jiaping Liao, Tao Wang. Control design of high-speed train against uncertain parameters and external disturbances[C].The 3rd IEEE International Power Electronics and Application

Conference and Exposition , 4th to 7th November 2022 in Guangzhou.

[28].王涛,黄景春,杨天昊. 基于改进的Super-Twisting滑模观测器的永磁同步电机无传感器控制[J]. 西南交通大学学报,2025,60(02):1-8.

[29].王涛,谭吉. 状态依赖型切换系统的数据驱动方法建模研究[J]. 西南交通大学学报, 2024,59(03):493-500.

[30].王涛,曾文浩,于琪.基于激光雷达的无人驾驶障碍物检测和跟踪[J].西南交通大学学报,2022,57(01):70-76.

[1]. 主持科研项目：

1.国家自然科学基金面上项目“基于切换LPV理论的高速动车电机鲁棒控制研究”

2.四川省自然科学基金面上项目“高速动车组切换大系统建模与高效安全运行研究”

[2]. 主研科研项目：

1.国家自然科学基金项目“基于结构风险最小化的多分辨率模糊系统辨识”

2.国家自然科学基金项目“川藏铁路列车智能操控理论与关键技术研究”

3.国家科技计划项目“电气化铁路同相供电装置”

4.国家重点研发计划“基于宽禁带半导体器件高频化应用电路拓扑研究”