Randomized algorithms for quadratic stability of quantized sampled-data systems,
نویسندگان
چکیده
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.
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عنوان ژورنال:
- Automatica
دوره 40 شماره
صفحات -
تاریخ انتشار 2004