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Encyclopedia of Systems and Control pp 1–4Cite as

Sampled-Data \(\mathcal{H}_{\infty }\) Optimization

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Abstract

\(\mathcal{H}_{\infty }\) optimization is central in robust control. When controllers are implemented by computers, sampled-data control systems arise. Designing \(\mathcal{H}_{\infty }\)-optimal controllers in purely continuous time or in purely discrete time is standard in robust control; in this entry, we discuss the process of sampled-data optimization, namely, designing digital controllers based on a continuous-time \(\mathcal{H}_{\infty }\) performance measure.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Alberta, T6G 2V4, Edmonton, Canada

    Tongwen Chen

Authors
  1. Tongwen Chen
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Correspondence to Tongwen Chen .

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Editors and Affiliations

  1. Electrical and Computer Engineering, Boston University, Boston, Massachusetts, USA

    John Baillieul

  2. Automation and Control Solutions, Honeywell, Golden Valley, Minnesota, USA

    Tariq Samad

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© 2013 Springer-Verlag London

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Chen, T. (2013). Sampled-Data \(\mathcal{H}_{\infty }\) Optimization. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_157-1

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_157-1

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  • Publisher Name: Springer, London

  • Online ISBN: 978-1-4471-5102-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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