• Learn process control hands-on, using MATLAB simulations
• Process control diagrams, dynamic modeling, feedback control, control loop performance optimization, and more
• Includes extensive examples drawn from biomedical applications
• Presents a start-to-finish chemical process control case study

This is the first complete introduction to process control that fully integrates software tools–enabling professionals and students to master critical techniques hands on, through computer simulations based on the popular MATLAB environment. Process Control: Modeling, Design, and Simulation teaches the field’s most important techniques, behaviors, and control problems through practical examples, supplemented by extensive exercises–with detailed derivations, relevant software files, and additional techniques available on a companion Web site. Coverage includes:

• Fundamentals of process control and instrumentation, including objectives, variables, and diagrams
• Methodologies for developing dynamic models of chemical processes
• Dynamic behavior of linear systems: state space models, transfer function-based models, and more
• Feedback control in depth proportional, integral, and derivative controllers, and closed-loop stability analysis
• Frequency response analysis techniques for evaluating the robustness of control systems
• Improving control loop performance: internal model control (IMC), automatic tuning, gain scheduling, and more
• Split-range, selective and override strategies for switching amongst inputs or outputs
• Control loop interactions and multivariable controllers
• Basic step response model-based MPC, and new enhancements to improve disturbance rejection

Bequette walks step by step through the development of control instrumentation diagrams for an entire chemical process, reviewing common control strategies for individual unit operations, then discussing strategies for integrated systems. The book also includes 16 learning modules demonstrating how to use MATLAB and SIMULINK to solve several key control problems, ranging from robustness analyses to biochemical reactors, biomedical problems to multivariable control.

B. WAYNE BEQUETTE is Professor of Chemical Engineering at Rensselaer Polytechnic Institute. His teaching and research interests are in the areas of process systems and control engineering for biomedical systems, pharmaceuticals, chromatography, and complex chemical processes. He is Associate Editor of Automatica, a journal of the International Federation of Automatic Control, and General Chair for the 2003 American Control Conference. He is author of Process Dynamics: Modeling, Analysis, and Simulation (Prentice Hall).

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Process Control: Modeling, Design, and Simulation is the first complete introduction to process control that fully integrates software tools–helping you master critical techniques hands-on, using MATLAB-based computer simulations. Author B. Wayne Bequette includes process control diagrams, dynamic modeling, feedback control, frequency response analysis techniques, control loop performance optimization, and a start-to-finish chemical process control case study.