Abstract
Sampled-data systems are control systems in which the feedback law is digitally implemented via a computer. They are prevalent nowadays due to the numerous advantages they offer compared to analog control. Nonlinear sampled-data systems arise in this context when either the plant model or the controller is nonlinear. While their linear counterpart is now a mature area, nonlinear sampled-data systems are much harder to deal with and, hence, much less understood. Their inherent complexity leads to a variety of methods for their modeling, analysis, and design. A summary of these methods is presented in this entry.
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∗Email: dnesic@unimelb.edu.au
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© 2014 Springer-Verlag London
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Nesic, D., Postoyan, R. (2014). Nonlinear Sampled-Data Systems. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_98-1
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_98-1
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