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With its non-theoretical approach to model-based predictive control, this book is ideal as a text for those who need to understand, research, or develop the concepts of predictive control. With approximately 15 years’ experience in researching predictive control, the author describes new developments in predictive control and expands on those areas not readily found in other books, including connections to optimal control and stability, the closed-loop paradigm, robust design in MPC, implementations of MPC using only small on-line computational burdens, and implicit modelling for predictive control. The book also covers issues in prediction and identification for MPC, stability analysis, enhancing robustness, and constraint handling and feasibility issues. Summary boxes are placed throughout the book to help you understand the key results without having to read through the detailed explanations.
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