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This monograph is an accessible tutorial on the state-of-the-art in model predictive control. Students and researchers will find a clear exposition of current knowledge upon which they can build their own research.
NMPC software both in MATLAB (R) (for smaller academic examples) and C++ (for larger examples) will be provided.
Here is a thorough introduction to nonlinear model predictive control for discrete-time and sampled-data systems. Includes an appendix with NMPC software and accompanying MATLAB (R) and C++ programs enable readers to perform computer experiments exploring NMPC.
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