Constrained Model Predictive Control for Time-Varying Delays Systems: Application to an Active Car Suspension
| dc.contributor.author | S. Bououden, M. Chadli, L. Zhang and T. Yang, | |
| dc.date.accessioned | 2024-02-15T15:25:47Z | |
| dc.date.available | 2024-02-15T15:25:47Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | This study investigates the problem of robust model predictive control (RMPC) for active suspension systems with time-varying delays and input constraints. The uncertainty is of convex polytopic type. Based on the Lyapunov-Krasovskii functional method, sufficient stability conditions of the time-varying delays systems are derived by linear matrix inequalities (LMIs) terms. At each time set, a feasible state feedback is obtained by minimizing an upper bound of the ‘worst-case’ quadratic objective function over an infinite horizon subject to constraints on inputs. Finally, a quarter-vehicle model is exploited to demonstrate the effectiveness of the proposed method. | |
| dc.identifier.uri | http://dspace.univ-khenchela.dz:4000/handle/123456789/1233 | |
| dc.language.iso | en_US | |
| dc.publisher | International Journal of Control, Automation and Systems, Springer | |
| dc.title | Constrained Model Predictive Control for Time-Varying Delays Systems: Application to an Active Car Suspension | |
| dc.type | Article |