| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
Int. J. Control
|
| 2025 | J | jnl |
Comput. Chem. Eng.
|
| 2025 | C | conf |
ACC
|
| 2025 | J | jnl |
Comput. Chem. Eng.
|
| 2025 | J | jnl |
IEEE Trans. Netw. Sci. Eng.
|
| 2025 | J | jnl |
Comput. Chem. Eng.
|
| 2025 | J | jnl |
IEEE Trans Autom. Sci. Eng.
|
| 2025 | J | jnl |
IEEE Trans. Control. Syst. Technol.
|
| 2024 | J | jnl |
IEEE Trans. Netw. Sci. Eng.
|
| 2024 | J | jnl |
Comput. Chem. Eng.
|
| 2024 | — | conf |
CDC
|
| 2024 | C | conf |
ACC
|
| 2024 | — | conf |
CDC
|
| 2024 | J | jnl |
Comput. Chem. Eng.
|
| 2024 | J | jnl |
Robust machine learning modeling for predictive control using Lipschitz-Constrained Neural Networks.
Comput. Chem. Eng.
|
| 2024 | J | jnl |
IEEE Trans. Cybern.
|
| 2023 | J | jnl |
Comput. Chem. Eng.
|
| 2023 | J | jnl |
Comput. Chem. Eng.
|
| 2023 | J | jnl |
Comput. Chem. Eng.
|
| 2023 | C | conf |
ACC
|
| 2022 | J | jnl |
Comput. Chem. Eng.
|
| 2022 | J | jnl |
Barrier-function-based distributed predictive control for operational safety of nonlinear processes.
Comput. Chem. Eng.
|
| 2022 | J | jnl |
Comput. Chem. Eng.
|
| 2022 | J | jnl |
Comput. Chem. Eng.
|
| 2022 | C | conf |
ACC
|
| 2022 | J | jnl |
Comput. Chem. Eng.
|
| 2021 | C | conf |
ACC
|
| 2021 | C | conf |
ACC
|
| 2021 | C | conf |
ACC
|
| 2021 | J | jnl |
Comput. Chem. Eng.
|
| 2020 | C | conf |
ACC
|
| 2020 | J | jnl |
Comput. Chem. Eng.
|
| 2020 | J | jnl |
Comput. Chem. Eng.
|
| 2020 | C | conf |
ACC
|
| 2020 | — | conf |
MED
|
| 2020 | J | jnl |
Neurocomputing
|
| 2020 | — | conf |
MED
|
| 2019 | C | conf |
ACC
|
| 2019 | J | jnl |
Autom.
|
| 2019 | C | conf |
ACC
|
| 2019 | C | conf |
ACC
|
| 2019 | C | conf |
ACC
|
| 2019 | J | jnl |
Operational safety of chemical processes via Safeness-Index based MPC: Two large-scale case studies.
Comput. Chem. Eng.
|
| 2018 | C | conf |
ACC
|
| 2018 | C | conf |
ACC
|
| 2018 | J | jnl |
Syst. Control. Lett.
|