Research Field
Robot control and multi-robot systems
Control of rail-transit systems
Control of renewable-energy systems
Paper Publications
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[1]
Qin N, Liang KW, Huang DQ, MA L and Kemp A. Multiple Convolutional Recurrent Neural Networks for Fault Identification and Performance Degradation Evaluation of High-Speed Train Bogie. IEEE Transactions on Neural Networks and Learning Systems. 2020, 21(12):5363-5376
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[2]
Gong ZF, Huang DQ, Jadoon HUK, Ma L and Song WS. Sensor-Fault-Estimation-Based Tolerant Control for Single-Phase Two-Level PWM Rectifier in Electric Traction System. IEEE Transactions on Power Electronics. 2020, 35(11):12274-12284
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[3]
Eshag M, Ma L, Sun YK and Zhang K. Robust Boundary Vibration Control of Uncertain Flexible Robot Manipulator with Spatiotemporally-varying Disturbance and Boundary Disturbance. International Journal of Control Automation and Systems, 2020, DOI: 10.1007/s12555-020-0070-0
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[4]
Zhang W, Ma L, Li X, et al. Research and application of fuzzy decision based on multi-agent system[J]. The Journal of Supercomputing, 2020, 76(6): 4149-4168.
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[5]
Yu T, Ma L, Zhang H. Prescribed performance for bipartite tracking control of nonlinear multiagent systems with hysteresis input uncertainties[J]. IEEE Transactions on cybernetics, 2019, 49(4) : 1327-1338.
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[6]
Zhang W, Ma L, Li X. Multi-agent reinforcement learning based on local communication[J]. Cluster Computing- -THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22(6): 15357-15366.
Patents
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Published Books
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[1]
高机动能力旋翼无人飞行器设计与控制.科学出版社.2024.monographs
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[2]
A Contribution to Adaptive Sliding-Mode Control with Gaussian Radial-Basis-Function Networks.Cuvillier Verlag，Goettingen， Germany.
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[3]
A Contribution to Adaptive Sliding-Mode Control with Gaussian Radial-Basis-Function Networks.Cuvillier Verlag，Goettingen， Germany.2006.
Research Projects
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[1]
NSFC Key Program, Robust fault-torlerant control of high-power vehicular electronic transformers, 2018-2022, PI
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[2]
Key R&D Programm of Sichuan Province, Intelligent control technology for 400km/h high-speed trains, 2020-2022, PI
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[3]
MOST Key Program， Monitoring and evaluation for robotized welding of train bodies， Co-PI，2018-2021
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[4]
NSFC-High Speed Train Key Program, Health monitoring, fault diagnosis and safety control of high-speed train traction system, 2020-2023, Co-PI
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[5]
Key R&D Programm of Sichuan Province，Robotized welding for large-scale equipment， Co-PI， 2020-2022
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[6]
NSFC-NSAF Joint Program, Robust modelling and control of multi-axis motion, 2018-2020, PI