Randomized algorithms for quadratic stability of quantized sampled-data systems

Hideaki Ishii, Tamer Başar, Roberto Tempo

Research output: Contribution to journalConference articlepeer-review


We present a novel development of randomized algorithms for quadratic stability analysis of sampled-data systems with memoryless quantizers. The specific randomized algorithm employed generates a quadratic Lyapunov function and leads to realistic bounds on the performance of such systems. A key feature of this method is that the characteristics of quantizers are exploited to make the algorithm computationally efficient.

Original languageEnglish (US)
Pages (from-to)5046-5051
Number of pages6
JournalProceedings of the American Control Conference
StatePublished - 2003
Event2003 American Control Conference - Denver, CO, United States
Duration: Jun 4 2003Jun 6 2003

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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