Papers

D. Griffith, S. A. Al-Ghwainem, and G. Serra. “The Importance of First-Principles in the Era of Artificial Intelligence: A Perspective on Hybrid Modeling and Industrial Case Studies.” Industrial & Engineering Chemistry Research, 2026.

K. Ma, N. Sahinidis, S. Amaran, R. Bindlish, S. Bury, D. Griffith, and S. Rajagopalan. “Data-driven strategies for optimization of integrated chemical plants.” Computers & Chemical Engineering, 166, 2022.

C. Rajhans, D. Griffith, S. Patwardhan, L. Biegler, and H. Pillai. “Terminal region characterization and stability analysis of discrete time quasi-infinite horizon nonlinear model predictive control.” Journal of Process Control, 83:30-52, 2019.

M. Yu, D. Griffith, and L. Biegler. “Nonlinear Programming Formulations for Nonlinear and Economic Model Predictive Control.” In: Raković, S. V., Levine, W. S. (eds), Handbook of Model Predictive Control, Control Engineering, pp. 465-489. Birkhäuser, Cham, 2019.

D. Griffith, L. Biegler, and S. Patwardhan. “Robustly stable adaptive horizon nonlinear model predictive control.” Journal of Process Control, 70:109-122, 2018.

D. Griffith, S. Patwardhan, and L. Biegler. “Quasi-infinite adaptive horizon nonlinear model predictive control.” IFAC-PapersOnLine, 51(18):506-511, 2018.

D. Griffith, V. Zavala, and L. Biegler. “Robustly stable economic NMPC for non-dissipative stage costs.” Journal of Process Control, 57:116-126, 2017.

D. Griffith and L. Biegler. “Trajectory Bounds of Input-to-State Stability for Nonlinear Model Predictive Control.” IFAC-PapersOnLine, 48(8):1027-1032, 2015.

X. Yang, D. Griffith, and L. Biegler. “Nonlinear Programming Properties for Stable and Robust NMPC.” IFAC-PapersOnLine, 48(23):388-397, 2015.