Shida Liu
Orcid: 0000-0002-0031-9359
According to our database1,
Shida Liu
authored at least 19 papers
between 2014 and 2024.
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Bibliography
2024
Attitude Adjustment of a Two-Wheel Balance Vehicle Based on an Enhanced Model-Free Adaptive Control Algorithm.
IEEE Trans. Circuits Syst. II Express Briefs, August, 2024
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
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