Chao Shang

Employment

• Tsinghua University Assistant Professor
  2018 - Present
• Cornell University Postdoctor Fellow
  2016 - 2018

Education

• Tsinghua University Ph.D
  2011 - 2016
• Tsinghua University B.S.
  2007 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (31)

• Distributionally robust fault detection trade-off design with prior fault information
  Control Engineering Practice 2026 DOI: 10.1016/j.conengprac.2026.106758
  +Save
• Towards an unsupervised learning scheme for efficiently solving parameterized mixed-integer programs
  Computers & Operations Research 2026 DOI: 10.1016/j.cor.2025.107290
  +Save
• A New Data-Driven Multistep Output Prediction for Fault Detection of Cyber–Physical DC Microgrids
  IEEE Transactions on Instrumentation and Measurement 2026 DOI: 10.1109/TIM.2026.3712924
  +Save
• Data-Driven Predictive Control for Stochastic Descriptor Systems: An Innovation-Based Approach Handling Non-Causal Dependencies
  IEEE Control Systems Letters 2026 DOI: 10.1109/LCSYS.2026.3707459
  +Save
• Sandwich Model Identification for Micropositioning Systems With Hysteresis Nonlinearity Under Attenuated Input Excitation
  IEEE Transactions on Instrumentation and Measurement 2026 DOI: 10.1109/TIM.2026.3684616
  +Save
• A novel state-space model identification method from a behavioral system-theoretic perspective
  Journal of Process Control 2026 DOI: 10.1016/j.jprocont.2026.103732
  +Save
• Risk-Averse PID Tuning Based on Scenario Programming and Parallel Bayesian Optimization
  Industrial & Engineering Chemistry Research 2025 DOI: 10.1021/acs.iecr.4c03050
  +Save
• Dynamic-Inner White Component Analysis: A New Latent Variable Model for Dynamic Data Analytics and Process Monitoring
  IEEE Transactions on Automation Science and Engineering 2025 DOI: 10.1109/TASE.2024.3426092
  +Save
• Causality-Informed Data-Driven Predictive Control
  IEEE Transactions on Control Systems Technology 2025 DOI: 10.1109/TCST.2025.3541179
  +Save
• A Novel Accuracy-Constrained Scheme for Efficient Trend Extraction of Industrial Time-Series Data
  IEEE Transactions on Instrumentation and Measurement 2025 DOI: 10.1109/TIM.2025.3554295
  +Save