Читать книгу Multi-parametric Optimization and Control - Efstratios N. Pistikopoulos - Страница 48

The remainder of this book is organized in two parts. In the first part, the theoretical and algorithmic essentials of multi‐parametric programming problems will be established. These include algorithms for the solution of multi‐parametric linear programming (mp‐LP), multi‐parametric quadratic programming (mp‐QP), multi‐parametric mixed‐integer linear programming (mp‐MILP), and multi‐parametric mixed‐integer quadratic programming (mp‐MIQP) problems. On the other hand, the latter of these parts is focused on the applications of multi‐parametric programming and specifically on its utilization to provide solutions to receding horizon optimization problems such as model predictive control.