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A. Mironchenko. A spectral small-gain condition for input-to-state stability of infinite networks
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Title: A spectral small-gain condition for input-to-state stability of infinite networks
Link to journal version of the paper (preprint):
Talk at IFAC WC 2020 in Berlin, Germany
Slides:
Abstract of the paper:
This paper presents a tight small-gain theorem for networks composed of infinitely many finite-dimensional subsystems. Assuming that each subsystem is exponentially input-to-state stable, we show that if the gain operator, collecting all the information about the internal Lyapunov gains,
has a spectral radius less than one, the overall infinite network
is exponentially input-to-state stable. We illustrate the effectiveness of our result by applying it to traffic networks.
Link to journal version of the paper (preprint):
Talk at IFAC WC 2020 in Berlin, Germany
Slides:
Abstract of the paper:
This paper presents a tight small-gain theorem for networks composed of infinitely many finite-dimensional subsystems. Assuming that each subsystem is exponentially input-to-state stable, we show that if the gain operator, collecting all the information about the internal Lyapunov gains,
has a spectral radius less than one, the overall infinite network
is exponentially input-to-state stable. We illustrate the effectiveness of our result by applying it to traffic networks.