Name
Abstract | ||
|---|---|---|
This paper presents a new method to design Robust Switching State-Feedback Gain-Scheduling (RSSFGS) controllers for Linear Parameter Varying (LPV) systems with uncertain scheduling parameters. The domain of scheduling parameters are divided into several overlapped subregions to undergo hysteresis switching among a family of simultaneously designed LPV controllers over the corresponding subregion with the guaranteed H-infinity performance. The synthesis conditions are given in terms of Parameterized Linear Matrix Inequalities that guarantee both stability and performance at each subregion and associated switching surfaces. The switching stability is ensured by descent parameter-dependent Lyapunov function on switching surfaces. By solving the optimization problem, RSSFGS controller can be obtained for each subregion. A numerical example is given to illustrate the effectiveness of the proposed approach over the non-switching controllers. |
Year | Venue | Field |
|---|---|---|
2017 | 2017 AMERICAN CONTROL CONFERENCE (ACC) | Lyapunov function,Parameterized complexity,Control theory,Mathematical optimization,Scheduling (computing),Control theory,Matrix (mathematics),Computer science,Linear parameter-varying control,Robustness (computer science),Control engineering,Optimization problem |
DocType | ISSN | Citations |
Conference | 0743-1619 | 0 |
PageRank | References | Authors |
0.34 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tianyi He | 1 | 0 | 1.35 |
| Ali Khudhair Al-Jiboory | 2 | 2 | 1.06 |
| Sean Shan-Min Swei | 3 | 0 | 1.69 |
| Guoming Zhu | 4 | 31 | 13.84 |