Mark L. Darby

TL;DR: The role RTO serves in the hierarchy of control and optimization decision making in the plant is discussed, and the key steps of the RTO layer and the coordination with MPC are outlined.

TL;DR: In this article, the authors highlight approaches and techniques that have successfully applied in practice and provide an overview of recent technological enhancements that are being made to MPC, including the design of the regulatory controls that receive setpoints from MPC.

TL;DR: The proposed method allows the on-line constrained optimization problem involved in moving-horizon state estimation to be solved offline, requiring only a look-up table and simple function evaluations for real-time implementation.

TL;DR: In this article, the authors describe a method and a software tool that allows control engineers/technicians to calculate optimal PID controller settings for multi-loop process systems, which requires the identification of a full dynamic model of the multivariable system, and uses constrained nonlinear optimization techniques to find the controller parameters.

TL;DR: In this article, the design of plant tests to generate data for identification of dynamic models is critically important for development of model-based process control systems, and related results are summarized and extended.