Name
Abstract | ||
|---|---|---|
This work proposes a model predictive control (MPC) approach for a switching linear system where the switching signal is prescribed with unknown future values. The switching signal is known only at its current value, satisfies a minimal dwell-time restriction of steps between successive switchings and is otherwise arbitrary. Under such a setting, the MPC optimization problem has to allow for all admissible switching sequences within a given horizon length. Such a formulation necessitates several other features: the use of a modified returnable set as the terminal constraint; the introduction of consistency constraints on the predicted controls; a min-max optimization criterion as the cost function; the splitting of the horizon into two portions for recursive feasibility consideration and exponential stability of the closed-loop system. The proposed approach is demonstrated by a numerical example. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TAC.2016.2552062 | IEEE Trans. Automat. Contr. |
Keywords | Field | DocType |
Switches,Switching systems,Asymptotic stability,Predictive control,Optimization,Standards,Linear systems | Dwell time,Switching signal,Mathematical optimization,Linear system,Control theory,Horizon,Model predictive control,Exponential stability,Optimization problem,Recursion,Mathematics | Journal |
Volume | Issue | ISSN |
61 | 12 | 0018-9286 |
Citations | PageRank | References |
3 | 0.40 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chong-Jin Ong | 1 | 716 | 56.26 |
| Zheming Wang | 2 | 30 | 8.12 |
| Masood Dehghan | 3 | 49 | 7.11 |