Structured robust control synthesis has been actively researched in recent years. The advantage of any structured design technique is that it is capable of bringing advanced optimization-based methods to real-life applications. Drawing on a recently published paper, a novel algorithm is presented for structured control synthesis against mixed uncertainty. The method is iterative, alternating between collecting worst-case perturbation samples of the parametric uncertainty, and designing a controller for all the samples. During the synthesis procedure, the controller is designed for a set of plants with structured dynamic uncertainty employing a process similar to the classical D-K iteration. The key feature of this algorithm is that separate D-scales are assigned to the individual samples. Two numerical examples are provided, one specifically chosen to highlight the advantage of this approach.
|Original language||English (US)|
|Title of host publication||2019 American Control Conference, ACC 2019|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|State||Published - Jul 2019|
|Event||2019 American Control Conference, ACC 2019 - Philadelphia, United States|
Duration: Jul 10 2019 → Jul 12 2019
|Name||Proceedings of the American Control Conference|
|Conference||2019 American Control Conference, ACC 2019|
|Period||7/10/19 → 7/12/19|
Bibliographical noteFunding Information:
VI. ACKNOWLEDGMENTS The authors acknowledge useful discussions with R.S. da Silva de Aguiar, P. Apkarian, and D. Noll. P. Seiler acknowledges funding from the Hungarian Academy of Sciences Institute for Computer Science and Control (MTA-SZTAKI). The research leading to these results is part of the FLEXOP project. This project has received funding from the Horizon 2020 research and innovation programme of the European Union under grant agreement No 636307. The research was also supported by the ÚNKP-18-3 New National Excellence Pro-gram of the Ministry of Human Capacities. REFERENCES
© 2019 American Automatic Control Council.