Techniques of Model-Based Control

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.

Coverage includes:

• 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.