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- W3043532795 abstract "Fault detection and isolation is an area of engineering dealing with designing on-line protocols for systems that allow one to identify the existence of faults, pinpoint their exact location, and overcome them. We consider the case of multi-agent systems, where faults correspond to the disappearance of links in the underlying graph, simulating a communication failure between the corresponding agents. We study the case in which the agents and controllers are maximal equilibrium-independent passive (MEIP), and use the known connection between steady-states of these multi-agent systems and network optimization theory. We first study asymptotic methods of differentiating the faultless system from its faulty versions by studying their steady-state outputs. We explain how to apply the asymptotic differentiation to detect and isolate communication faults, with graph-theoretic guarantees on the number of faults that can be isolated, assuming the existence of a convergence assertion protocol, a data-driven method of asserting that a multi-agent system converges to a conjectured limit. We then construct two data-driven model-based convergence assertion protocols. We demonstrate our results by a case study." @default.
- W3043532795 created "2020-07-23" @default.
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- W3043532795 date "2022-02-01" @default.
- W3043532795 modified "2023-10-03" @default.
- W3043532795 title "Model-Free Practical Cooperative Control for Diffusively Coupled Systems" @default.
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- W3043532795 doi "https://doi.org/10.1109/tac.2021.3056582" @default.
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