Nonlinear Model Predictive Control: Theory and Algorithms (Communications and Control Engineering) by Lars Grüne
English | 22 Nov. 2016 | ISBN: 3319460234 | 456 Pages | PDF | 8.22 MB
English | 22 Nov. 2016 | ISBN: 3319460234 | 456 Pages | PDF | 8.22 MB
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 variants. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness.