James B. Rawlings

Papers

Total Citations

3,693

H-Index

About

James B. Rawlings is a leading figure in process systems engineering, renowned for his foundational contributions to model predictive control (MPC) and nonlinear optimization. His work bridges theory and practice, with a particular focus on developing robust, computationally efficient algorithms for chemical processes. Rawlings is perhaps best known for co-authoring the seminal textbook *Model Predictive Control: Theory and Design*, which has become an essential resource for researchers and practitioners alike. His impact is underscored by the widespread adoption of his co-developed software framework, CasADi, which has garnered over 3,600 citations for its role in enabling efficient nonlinear optimization and optimal control. Beyond this, Rawlings has advanced the understanding of state estimation, economic MPC, and the integration of process control with real-time optimization. His research has shaped modern chemical engineering, influencing fields from energy systems to pharmaceuticals. With a career spanning decades, Rawlings continues to inspire through his rigorous approach to control theory and his commitment to open-source tools that democratize advanced optimization.