Title | ||
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A Data-Driven Approach to Mixed-Sensitivity Control With Application to an Active Suspension System. |
Abstract | ||
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In this paper, a data-driven approach is proposed to tune fixed-order controllers for unknown stable LTI plants in a mixed-sensitivity loop-shaping framework. The method requires a single set of input-output samples and it is based on convex optimization techniques; moreover, it asymptotically guarantees the internal stability of the closed-loop system. The effectiveness of the method is illustrat... |
Year | DOI | Venue |
---|---|---|
2013 | 10.1109/TII.2012.2220556 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Stability criteria,Computational modeling,Suspensions,Asymptotic stability,Sensitivity,Convex functions,Data models | Data-driven,Computer science,Control theory,Control engineering,Active suspension,Robust control,Convex optimization | Journal |
Volume | Issue | ISSN |
9 | 4 | 1551-3203 |
Citations | PageRank | References |
5 | 0.41 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Simone Formentin | 1 | 127 | 29.41 |
A. Karimi | 2 | 289 | 40.41 |