Shida Liu

Orcid: 0000-0002-0031-9359

According to our database1, Shida Liu authored at least 18 papers between 2014 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Data-Driven Distributed Information-Weighted Consensus Filtering in Discrete-Time Sensor Networks With Switching Topologies.
IEEE Trans. Cybern., December, 2023

Data-Driven Kalman Consensus Filtering for Connected Vehicle Speed Estimation in a Multi-Sensor Network.
Symmetry, September, 2023

Image-based fall detection in bus compartment scene.
IET Image Process., March, 2023

A Novel Multi-Agent Model-Free Adaptive Control Algorithm for a Class of Multivehicle Systems with Constraints.
Symmetry, 2023

2022
A Novel Driver Abnormal Behavior Recognition and Analysis Strategy and Its Application in a Practical Vehicle.
Symmetry, 2022

A Novel Anti-Saturation Model-Free Adaptive Control Algorithm and Its Application in the Electric Vehicle Braking Energy Recovery System.
Symmetry, 2022

2021
Disturbance-Improved Model-Free Adaptive Prediction Control for Discrete-Time Nonlinear Systems with Time Delay.
Symmetry, 2021

Data-Driven Kalman Filtering in Nonlinear Systems with Actuator and Sensor Fault Diagnosis Based on Lyapunov Stability.
Symmetry, 2021

Data-driven online modelling for a UGI gasification process using modified lazy learning with a relevance vector machine.
Int. J. Appl. Math. Comput. Sci., 2021

2020
Data-driven Robotic Automation using Trust-based Kalman Consensus Filter for Collaborative Assembly.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020

2019
A Novel Dual Successive Projection-Based Model-Free Adaptive Control Method and Application to an Autonomous Car.
IEEE Trans. Neural Networks Learn. Syst., 2019

Data-Driven Model-Free Adaptive Predictive Control for a Class of MIMO Nonlinear Discrete-Time Systems With Stability Analysis.
IEEE Access, 2019

2017
Lazy-Learning-Based Data-Driven Model-Free Adaptive Predictive Control for a Class of Discrete-Time Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2017

Robust model free adaptive control for a class of nonlinear MIMO systems with measurement noise and data dropout.
Proceedings of the 11th Asian Control Conference, 2017

2016
Data-Driven Modeling for UGI Gasification Processes via an Enhanced Genetic BP Neural Network With Link Switches.
IEEE Trans. Neural Networks Learn. Syst., 2016

Data-driven model-free adaptive control based on a novel double successive projection algorithm.
Proceedings of the 14th International Conference on Control, 2016

2014
Data driven modeling for UGI gasification process via a variable structure genetic BP neural network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Data-driven modeling for fixed-bed intermittent gasification processes by enhanced lazy learning incorporated with relevance vector machine.
Proceedings of the 11th IEEE International Conference on Control & Automation, 2014


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