Abstract
This entry gives a brief overview on the modern development of sampled-data control. Sampled-data systems intrinsically involve a mixture of two different time sets, one continuous and the other discrete. Due to this, sampled-data systems cannot be characterized in terms of the standard notions of transfer functions, steady-state response, or frequency response. The technique of lifting resolves this difficulty and enables the recovery of such concepts and simplified solutions to sampled-data H∞ and H2 optimization problems. We review the lifting point of view and its application to such optimization problems and finally present an instructive numerical example.
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Acknowledgements
The author would like to thank Masaaki Nagahara and Masashi Wakaiki for their help in the numerical example references.
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Yamamoto, Y. (2020). Optimal Sampled-Data Control. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_205-2
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_205-2
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Latest
Optimal Sampled-Data Control- Published:
- 14 November 2019
DOI: https://doi.org/10.1007/978-1-4471-5102-9_205-2
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Optimal Sampled-Data Control- Published:
- 24 March 2014
DOI: https://doi.org/10.1007/978-1-4471-5102-9_205-1