Kai Jiang

Orcid: 0000-0001-9006-0514

According to our database1, Kai Jiang authored at least 11 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fuel and Emissions Optimization for Connected Diesel Engine Vehicles With Hierarchical Model Predictive Control.
IEEE Trans. Intell. Transp. Syst., August, 2024

Lyapunov-based nonlinear model predictive control for the path following of bevel-tip flexible needles in 3D environment.
Signal Image Video Process., 2024

Safe Reinforcement Learning for Connected and Automated Vehicle Platooning.
Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024

2023
Cyber-Attack Detection Framework for Connected Vehicles in V2X Networks Based on An Iterative UFIR Filter.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2020
Simultaneous Input and State Estimation for Integrated Motor-Transmission Systems in a Controller Area Network Environment via an Adaptive Unscented Kalman Filter.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Data-Driven Modeling and UFIR-Based Outlet NO$_{x}$ Estimation for Diesel-Engine SCR Systems.
IEEE Trans. Ind. Electron., 2020

Hydrothermal Aging Factor Estimation for Two-Cell Diesel-Engine SCR Systems via a Dual Time-Scale Unscented Kalman Filter.
IEEE Trans. Ind. Electron., 2020

Temperature distribution estimation via data-driven model and adaptive Kalman filter in modular data centers.
J. Syst. Control. Eng., 2020

2018
NH<sub>3</sub> Coverage Ratio Estimation of Diesel-Engine SCR Systems by a Dual Time-Scale Extended Kalman Filter.
IEEE Trans. Veh. Technol., 2018

2016
An extended Kalman filter for input estimations in diesel-engine selective catalytic reduction applications.
Neurocomputing, 2016

Adaptive unscented Kalman filter for input estimations in Diesel-engine selective catalytic reduction systems.
Neurocomputing, 2016


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