Data-driven modeling for fixed-bed intermittent gasification processes by enhanced lazy learning incorporated with relevance vector machine. - Shida Liu; Zhongsheng Hou; Chenkun Yin (ICCA, 2014)

Data driven modeling for UGI gasification process via a variable structure genetic BP neural network. - Shida Liu; Zhongsheng Hou; Chenkun Yin (IJCNN, 2014)

Data-driven model-free adaptive control based on a novel double successive projection algorithm. - Shida Liu; Zhongsheng Hou; Zhenxuan Li (ICARCV, 2016)

Data-Driven Modeling for UGI Gasification Processes via an Enhanced Genetic BP Neural Network With Link Switches. - Shida Liu; Zhongsheng Hou; Chenkun Yin (IEEE Trans. Neural Networks Learn. Syst., 2016)

Robust model free adaptive control for a class of nonlinear MIMO systems with measurement noise and data dropout. - Xin Zhang; Zhongsheng Hou; Shida Liu (ASCC, 2017)

Lazy-Learning-Based Data-Driven Model-Free Adaptive Predictive Control for a Class of Discrete-Time Nonlinear Systems. - Zhongsheng Hou; Shida Liu; Yantao Tian (IEEE Trans. Neural Networks Learn. Syst., 2017)

Data-Driven Model-Free Adaptive Predictive Control for a Class of MIMO Nonlinear Discrete-Time Systems With Stability Analysis. - Yuan Guo; Zhongsheng Hou; Shida Liu; Shangtai Jin (IEEE Access, 2019)

A Novel Dual Successive Projection-Based Model-Free Adaptive Control Method and Application to an Autonomous Car. - Shida Liu; Zhongsheng Hou; Yantao Tian; Zhidong Deng; Zhenxuan Li (IEEE Trans. Neural Networks Learn. Syst., 2019)

Data-driven Robotic Automation using Trust-based Kalman Consensus Filter for Collaborative Assembly. - Honghai Ji; Lingling Fan 002; Shida Liu; Li Wang 034; Hanyu Cui (ICARM, 2020)

Data-driven online modelling for a UGI gasification process using modified lazy learning with a relevance vector machine. - Shida Liu; Honghai Ji; Zhongsheng Hou; Jiashuo Zuo; Lingling Fan 002 (Int. J. Appl. Math. Comput. Sci., 2021)

Data-Driven Kalman Filtering in Nonlinear Systems with Actuator and Sensor Fault Diagnosis Based on Lyapunov Stability. - Lingling Fan 002; Kaipu Guo; Honghai Ji; Shida Liu; Yuzhou Wei (Symmetry, 2021)

Disturbance-Improved Model-Free Adaptive Prediction Control for Discrete-Time Nonlinear Systems with Time Delay. - Honghai Ji; Yuzhou Wei; Lingling Fan 002; Shida Liu; Yulin Wang; Li Wang 034 (Symmetry, 2021)

A Novel Anti-Saturation Model-Free Adaptive Control Algorithm and Its Application in the Electric Vehicle Braking Energy Recovery System. - Shida Liu; Zhen Li; Honghai Ji; Li Wang 034; Zhongsheng Hou (Symmetry, 2022)

A Novel Driver Abnormal Behavior Recognition and Analysis Strategy and Its Application in a Practical Vehicle. - Shida Liu; Xuyun Wang; Honghai Ji; Li Wang 034; Zhongsheng Hou (Symmetry, 2022)

A Novel Multi-Agent Model-Free Adaptive Control Algorithm for a Class of Multivehicle Systems with Constraints. - Lipu Wu; Zhen Li; Shida Liu; Zhijun Li; Dehui Sun (Symmetry, 2023)

Image-based fall detection in bus compartment scene. - Xiaoping Zhang; Jiahui Ji; Li Wang; Zhonghe He; Shida Liu (IET Image Process., 2023)

Data-Driven Kalman Consensus Filtering for Connected Vehicle Speed Estimation in a Multi-Sensor Network. - Honghai Ji; Jie Mei; Li Wang 034; Shida Liu; Ye Ren (Symmetry, 2023)

Data-Driven Distributed Information-Weighted Consensus Filtering in Discrete-Time Sensor Networks With Switching Topologies. - Honghai Ji; Yuzhou Wei; Lingling Fan 002; Shida Liu; Zhongsheng Hou; Li Wang 034 (IEEE Trans. Cybern., 2023)

Attitude Adjustment of a Two-Wheel Balance Vehicle Based on an Enhanced Model-Free Adaptive Control Algorithm. - Shida Liu; Yuhao Yan; Ye Ren; Shangtai Jin; Zhongsheng Hou (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

A Novel Enhanced Data-Driven Model-Free Adaptive Control Scheme for Path Tracking of Autonomous Vehicles. - Shida Liu; Guang Lin; Honghai Ji; Shangtai Jin; Zhongsheng Hou (IEEE Trans. Intell. Transp. Syst., 2025)

HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class. - James V. Roggeveen; Erik Y. Wang; Will Flintoft; Peter Donets; Lucy S. Nathwani; Nickholas Gutierrez; David Ettel; Anton Marius Graf; Siddharth Dandavate; Arjun Nageswaran; Raglan Ward; Ava Williamson; et al. (CoRR, 2025)