Randomized algorithms for quadratic stability of quantized sampled-data systems

Hideaki Ishii, Tamer Başar, Roberto Tempo

Research output: Contribution to journalArticlepeer-review


In this paper, 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)839-846
Number of pages8
Issue number5
StatePublished - May 2004


  • Quadratic stability
  • Quantizers
  • Randomized algorithms
  • Sampled-data systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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