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Nonlinear model predictive control: theory and algorithms
This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC vari...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2017
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-46024-6 http://cds.cern.ch/record/2240299 |