Abstract | ||
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This paper deals with overshoot reduction in fixed order controller design for linear systems subject to polytopic uncertainty. The basis of the developed synthesis method is a recent convex parameterization for fixed-order stabilizing controllers based on the polynomial approach. Two convex constraints are developed in order to decrease the overshoot of the closed-loop step response. First, based on the existing convex parameterization and peak-to-peak gain performance a criterion is developed to minimize the peak value of the step response. In the second method, Markov parameters of the system are used to achieve a step response with less overshoot. Simulation results illustrate the effectiveness of the developed methods. |
Year | DOI | Venue |
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2011 | 10.1109/ACC.2011.5990777 | American Control Conference |
Keywords | Field | DocType |
markov processes,control system synthesis,convex programming,linear systems,robust control,time-domain analysis,markov parameter,convex constraint,convex parameterization,fixed-order robust controller design,fixed-order stabilizing controller,linear system,overshoot reduction,peak-to-peak gain performance,polynomial approach,polytopic uncertainty,time-domain constraint,markov process,transfer function,computational complexity,linear matrix inequality,transfer functions,polynomials,uncertainty,robustness,time domain,convex optimization | Step response,Mathematical optimization,Markov process,Linear system,Polynomial,Computer science,Control theory,Overshoot (signal),Control engineering,Robustness (computer science),Robust control,Convex optimization | Conference |
ISSN | ISBN | Citations |
0743-1619 | 978-1-4577-0080-4 | 0 |
PageRank | References | Authors |
0.34 | 6 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
keivan zavari | 1 | 17 | 1.32 |
Hamid Khatibi | 2 | 1 | 0.72 |
Vahid Johari Majd | 3 | 154 | 15.51 |
Goele Pipeleers | 4 | 217 | 31.66 |
Jan Swevers | 5 | 709 | 82.49 |