Predictive Control with Constraints

Model predictive control is an indispensable part of industrial control engineering and is increasingly the "method of choice" for advanced control applications. Jan Maciejowski's book provides a systematic and comprehensive course on predictive control suitable for final year students and professional engineers. The first book to cover constrained predictive control, the text reflects the true use of the topic in industry.

1. Introduction to Predictive Control.
2. A Standard Formulation of Predictive Control.
3. Solving Predictive Control Problems.
4. Step Response and Transfer Function Formulations.
5. Tuning.
6. Stability.
7. Robust Predictive Control.
8. Perspectives.
9. Case Studies.
10. The Model Predictive Control Toolbox.
References
Appendices
A. Some Commercial MPC Products
B. MATLAB Program basicmpc
C. The MPC Toolbox
D. Solutions to Problems

• Contains mini-tutorials on specialist topics that make the text suitable for self-study.
• Includes a separate chapter containing industrial case-studies that illustrate the methods in practice.
• Provides worked examples and problems in each chapter.
• Promotes the use of Matlab throughout and includes an appendix on the Model Predictive Control Toolbox for Matlab.

Jan M Maciejowski lectures in the Department of Engineering, University of Cambridge and is an exceptionally well-known name in the field.