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Model Predictive Control Design for Linear Parameter Varying Systems: A Survey
| Content Provider | Hyper Articles en Ligne (HAL) |
|---|---|
| Author | Menezes Morato, Marcelo Normey-Rico, Julio, E Sename, Olivier |
| Abstract | Motivated by the fact that many nonlinear plants can be represented through Linear Parameter Varying (LPV) embedding, and being this framework very popular for control design, this paper investigates the available Model Predictive Control (MPC) policies that can be applied for such systems. This paper reviews the available works considering LPV MPC design, ranging from the sub-optimal, simplified, yet Quadratic Programming (QP) algorithms, the tube-based tools, the set-constrained procedures, the Nonlinear Programming procedures and the robust ones; the main features of the recent research body on this topic are examined. A simulation example is given comparing some of the important techniques. Finally, some suggestions are given for future investigation threads, seeking further applicability of these methods. |
| Related Links | https://hal.science/hal-02611783/file/AnnualReviews_LPVMPC_Rev_v2.pdf |
| ISSN | 13675788 |
| DOI | 10.1016/j.arcontrol.2020.04.016 |
| Journal | Annual Reviews in Control |
| Volume Number | 49 |
| Language | English |
| Publisher | HAL CCSD Elsevier |
| Publisher Date | 2020-05-17 |
| Access Restriction | Open |
| Subject Keyword | Optimization Model Predictive Control Linear Parameter Varying Systems Quadratic Programming |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy Control and Systems Engineering Software |
