Author of the publication

Adaptive neural control with intercepted adaptation for time-delay saturated nonlinear systems.

, , and . Neural Computing and Applications, 26 (8): 1849-1857 (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Stabilization of Switched Nonlinear Systems by Adaptive Observer-Based Dynamic Surface Control with Nonlinear Virtual and Output Feedback., , , and . CSSP, 38 (3): 1063-1085 (2019)Energy-Saving Metro Train Timetable Rescheduling Model Considering ATO Profiles and Dynamic Passenger Flow., , , , , and . IEEE Trans. Intelligent Transportation Systems, 20 (7): 2774-2785 (2019)Distributed cooperative control of multiple high-speed trains under a moving block system by nonlinear mapping-based feedback., , , , and . SCIENCE CHINA Information Sciences, 61 (12): 120202:1-120202:12 (2018)Adaptive and robust Automatic Train Control Systems with input Saturation1., , , , and . Control and Intelligent Systems, (2013)Field observations and modeling of waiting pedestrian at subway platform., , , , , and . Inf. Sci., (2019)Extraction and Analysis of Risk Factors from Chinese Railway Accident Reports., , and . ITSC, page 869-874. IEEE, (2019)Neural Networks-Based Sliding Mode Fault-Tolerant Control for High-Speed Trains With Bounded Parameters and Actuator Faults., , , , and . IEEE Trans. Vehicular Technology, 69 (2): 1353-1362 (2020)Characteristic model-based all-coefficient adaptive control for automatic train control systems., , and . SCIENCE CHINA Information Sciences, 57 (9): 1-12 (2014)Adaptive neural control with intercepted adaptation for time-delay saturated nonlinear systems., , and . Neural Computing and Applications, 26 (8): 1849-1857 (2015)Adaptive fault-tolerant automatic train operation using RBF neural networks., , , , and . Neural Computing and Applications, 26 (1): 141-149 (2015)