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- W2990671949 abstract "In this article, we consider the optimal design of networked estimators to minimize the communication/measurement cost under the networked observability constraint. This problem is known as the minimum-cost networked estimation problem, which is generally claimed to be NP-hard. The main contribution of this work is to provide a polynomial-order solution for this problem under the constraint that the underlying dynamical system is self-damped. Using structural analysis, we subdivide the main problem into two NP-hard subproblems known as (i) optimal sensor selection, and (ii) minimum-cost communication network. For self-damped dynamical systems, we provide a polynomial-order solution for subproblem (i). Further, we show that the subproblem (ii) is of polynomial-order complexity if the links in the communication network are bidirectional. We provide an illustrative example to explain the methodologies." @default.
- W2990671949 created "2019-12-05" @default.
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- W2990671949 date "2020-07-01" @default.
- W2990671949 modified "2023-10-18" @default.
- W2990671949 title "On the Complexity of Minimum-Cost Networked Estimation of Self-Damped Dynamical Systems" @default.
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- W2990671949 doi "https://doi.org/10.1109/tnse.2019.2956546" @default.
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