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- W3204809552 abstract "This article proposes methods for identification of large-scale networked systems with guarantees that the resulting model will be contracting—a strong form of nonlinear stability—and/or monotone, i.e., order relations between states are preserved. The main challenges that we address are simultaneously searching for model parameters and a certificate of model stability, and scalability to networks with hundreds or thousands of nodes. We propose a model set that admits convex constraints for stability and monotonicity, and both model and stability certificates have a separable structure that allows distributed identification via the alternating directions method of multipliers. The performance and scalability of the approach is illustrated on a variety of linear and nonlinear case studies, including a nonlinear traffic network with a 200-D state space." @default.
- W3204809552 created "2021-10-11" @default.
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- W3204809552 date "2022-07-01" @default.
- W3204809552 modified "2023-10-17" @default.
- W3204809552 title "Distributed Identification of Contracting and/or Monotone Network Dynamics" @default.
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- W3204809552 doi "https://doi.org/10.1109/tac.2021.3115423" @default.
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