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Multiagent reinforcement learning in a distributed sensor network with indirect feedback
International Joint Conference on Autonomous Agents and Multiagent Systems, 2013Highly accurate sensor measurements are crucial in order for power plants to effectively operate, as well as to predict and subsequently prevent any potentially catastrophic failures. As the cost of sensors decreases while their power increases, distributed sensor networks become a more attractive option for implementation in power plants. In this work,
Mitchell K. Colby, Kagan Tumer
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Scenario-based indirect feedback SMPC of constrained uncertain systems
IMA Journal of Mathematical Control and InformationAbstract This paper proposes a stochastic model predictive control (SMPC) scheme using indirect feedback for constrained linear systems with uncertain parameters and additive disturbances. Using the concept of the probability reachable set, a robust model predictive control-like tightened constraint is established to handle the chance ...
Yuanchi Huang, Lei Zhang 0044, Defeng He
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Stability of density-dependent model with indirect feedback and biomass inhibition
Theory in BiosciencesIn this study, we conduct a mathematical and numerical investigation of a density-dependent model for the anaerobic digestion process, described by a system of four nonlinear ordinary differential equations, featuring an indirect feedback loop. Our analysis focuses on the acetogenesis and hydrogenotrophic methanogenesis phases.
Nabil Ben Ali, Nahla Abdellatif
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New language knowledge construction through indirect feedback in web-based collaborative writing
Computer Assisted Language Learning, 2018Yu-Fen Yang
exaly
Indirect Adaptive Fuzzy Control for Nonaffine Nonlinear Pure-Feedback Systems
IEEE Transactions on Fuzzy Systems, 2020Faxiang Zhang, Yang-Yang Chen
exaly
A REGULATORY PATHWAY FOR FIBRINOGEN BIOSYNTHESIS INVOLVING AN INDIRECT FEEDBACK LOOP*
Annals of the New York Academy of Sciences, 1982G M, Fuller, D G, Ritchie
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