Publications

Journal Articles

• A Distributed Neural Hybrid System Learning Framework in Modeling Complex Dynamical Systems (Regular Paper) (PDF)
  Yejiang Yang, Tao Wang, Weiming Xiang.
  IEEE Transactions on Neural Networks and Learning System, 2024.

• Guaranteed Approximation Error Estimation of Neural Networks and Model Modification (PDF)
  Yejiang Yang, Tao Wang, Jefferson P Woolard, Weiming Xiang.
  Neural Networks, 2022.

• Computationally Efficient Neural Hybrid Automaton Framework for Learning Complex Dynamics (PDF)
  Tao Wang, Yejiang Yang, Weiming Xiang.
  Neurocomputing, 2023.

• Efficient Neural Hybrid System Learning and Interpretable Transition System Abstraction for Dynamical Systems
  Yejiang Yang, Zihao Mo, Weiming Xiang.
  ASME Letters in Dynamic Systems and Control (ASME-LDSC), 2024.

Conference Proceeding Papers

• A Transition System Abstraction Framework for Neural Network Dynamical System Models (PDF)
  Yejiang Yang, Zihao Mo, Hoang-Dung Tran, Weiming Xiang.
  American Control Conference (ACC), 2024.

• D^3NN: Data-Driven Dual-Level Neural Network Tool for Dynamical System Modeling and Abstraction
  Yejiang Yang, Zihao Mo, Weiming Xiang.
  IFAC Conference on Analysis and Design of Hybrid Systems (ADHS), 2024.

• Efficient Neural Hybrid System Learning and Interpretable Transition System Abstraction for Dynamical Systems
  Yejiang Yang, Zihao Mo, Weiming Xiang.
  Modeling, Estimation and Control Conference (MECC) Joint Publication, 2024.

• Modeling Dynamical Systems with Neural Hybrid System Framework via Maximum Entropy Approach (PDF)
  Yejiang Yang, Zihao Mo, Weiming Xiang.
  American Control Conference (ACC), 2023.

• A Data-Driven Hybrid Automaton Framework to Modeling Complex Dynamical Systems (PDF)
  Yejiang Yang, Zihao Mo, Weiming Xiang.
  IEEE International Conference on Industrial Technology (ICIT), 2023.

• Robust Optimization Framework for Training Shallow Neural Networks using Reachability Method (PDF)
  Yejiang Yang, Weiming Xiang.
  IEEE Conference on Decision and Control (CDC), 2021.

• Compression Repair for Feedforward Neural Networks Based on Model Equivalence Evaluation (PDF)
  Zihao Mo, Yejiang Yang, Shuaizheng Lu, Weiming Xiang
  American Control Conference (ACC), 2024.