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Dahleh is internationally known for his fundamental contributions to robust control theory; computational methods for controller design; the interplay between information and control; the fundamental limits of learning and decision in networked systems; and the detection and mitigation of systemic risk in interconnected and networked systems. His particular research interests include networked systems: Foundational theory for the interaction between physical and information networks, Information propagation, distributed decisions, learning network structure from data; social networks: Information cascades in stochastic networks, opinion dynamics, global games in modeling outcomes of crises; systemic risk: The development of a foundational theory for the early detection and control of systemic risk resulting from idiosyncratic disturbance affecting components of a networked system; transportation systems: Dynamic models of congestion under disruptions, dependence of fragility on network topology, cascaded failures, value of side information on performance.
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arxiv(2023)
2023 62nd IEEE Conference on Decision and Control (CDC)pp.3257-3261, (2023)
Research Square (Research Square) (2021)
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