The state-of-the-art publication in model-based process control—by leading experts in the field.
In Techniques of Model-Based Control, two leading experts bring together powerful advances in model-based control for chemical-process engineering. Coleman Brosilow and Babu Joseph focus on practical approaches designed to solve real-world problems, and they offer extensive examples and exercises.
The nature of the process-control problem and how model-based solutions help to solve it
Continuous time modeling: time domain, Laplace domain, and FOPDT models
Feedforward, cascade, override, and single-variable inferential control approaches
One and two degree of freedom Internal Model Control
Model State Feedback and PI/PID Implementations of IMC
Tuning and synthesis of 1DF and 2DF IMC for process uncertainty
Estimation and inferential control using multiple secondary measurements
Basic and advanced techniques of model identification and model-predictive control
The appendices review the basics of Laplace transforms, feedback control, frequency response analysis, probability, random variables, and linear least-square regression.
From start to finish, Techniques of Model-Based Control offers the real-world insight that professionals need to identify and implement the best control strategies for virtually any process.