Abstract | ||
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This paper considers the periodic reference tracking problem for continuous-time semi-Markovian jump systems. An observer-based robust modified repetitive controller with logarithmically quantised output measurements is proposed. By using a lifting technique, the semi-Markovian jump system and the modified repetitive controller structure are transformed into a stochastic two-dimensional (2D) model to differentiate the control and learning actions involved in the repetitive controller structure. For the transformed 2D model, first, sufficient conditions are derived for the closed-loop control system to be mean square asymptotically stable by utilising tools from stochastic systems theory and multiple Lyapunov functional technique. Subsequently, a robust modified repetitive controller is synthesised to ensure a prescribed attenuation performance in the presence of a bounded exogenous disturbance input. A numerical example on a switched boost converter circuit is considered and simulation results are provided to evaluate the proposed control strategy. |
Year | DOI | Venue |
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2019 | 10.1080/00207721.2018.1543480 | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE |
Keywords | Field | DocType |
Robust repetitive control, periodic reference tracking, semi-Markovian jump systems, observer, output quantisation | Control theory,Repetitive control,Control theory,Markovian jump,Observer (quantum physics),Jump,Periodic graph (geometry),Mathematics | Journal |
Volume | Issue | ISSN |
50 | 1 | 0020-7721 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Guoqi Ma | 1 | 0 | 1.35 |
Xinghua Liu | 2 | 76 | 14.84 |
Prabhakar R. Pagilla | 3 | 98 | 19.94 |