Optimal Control Unchained. How Fast Online Computing Enabled Today's Advanced Industrial Control Systems

This talk presents a brief history of the development of

model predictive control (MPC), the leading industrial advanced

control method in use in the process industries. The development of

the theoretical underpinnings of MPC is traced from its origins in

optimal control theory. Both optimal regulation and optimal state

estimation are discussed as problems in online optimization subject to

differential equation models and constraints. Several current open

problems in both the theory and industrial application of MPC are

briefly presented.