Abstract
The paper develops new results on stability analysis and control law design for differential linear repetitive processes. These results are based on new dilated LMI characterizations for stability along the pass where auxiliary slack variables with full structure are employed. This provides additional flexibility to the solution. The results are also easily extended to processes with norm-bounded uncertainties. It is also shown that the generalized Kalman-Yakubovich-Popov lemma can be used to obtain stability and controller design procedures in which performance specifications are imposed over finite frequency ranges. Sufficient conditions for the existence of a robust controller in this setting are established. Finally, a simulation example is given to illustrate the merits of the new design.
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Acknowledgments
This work is partially supported by National Science Centre in Poland, grant No. 2017/27/B/ST7/01874.
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Maniarski, R., Paszke, W., Rogers, E. (2020). A New LMI-Based Controller Design Method for Uncertain Differential Repetitive Processes. In: Bartoszewicz, A., Kabziński, J., Kacprzyk, J. (eds) Advanced, Contemporary Control. Advances in Intelligent Systems and Computing, vol 1196. Springer, Cham. https://doi.org/10.1007/978-3-030-50936-1_16
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DOI: https://doi.org/10.1007/978-3-030-50936-1_16
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