Abstract: This article studies the human-in-the-loop fuzzy iterative learning control of leader-following consensus for unknown mixed-order nonlinear multi-agent systems. The human operator ...
Abstract: This letter presents a new phase-locked loop (PLL) control method for enhancing the synchronization stability of grid-following voltage-source converters in very weak grid conditions. This ...
Abstract: In this paper, a novel self-adaptive control method based on a digital twin is developed and investigated for a multi-input multi-output (MIMO) nonlinear system, which is a heating, ...
Abstract: The existing deep learning-based Versatile Video Coding (VVC) in-loop filtering (ILF) enhancement works mainly focus on learning the one-to-one mapping between the re-constructed and the ...
💡 NOTE: If you're interested in BAxUS, please consider using Bounce, which comes with an improved trust region management policy, an easier setup, and batch parallelism. benchmark_runner.py -id 100 ...
Abstract: The integration of renewable energy sources and distributed energy resources (DERs) has driven the evolution of modernized nested microgrids, enhancing resilience and flexibility in power ...
Abstract: In this article, the distributed formation control problem for a class of human-in-the-loop (HiTL) multiagent systems (MASs) is studied. A hidden Markov jump MAS is employed to model the ...
Abstract: We present nested sampling for factor graphs (NSFG), a novel nested sampling approach to approximate inference for posterior distributions expressed over factor-graphs. Performing such ...
Abstract: In versatile video coding (VVC), the in-loop filters suppress compression artifacts while reducing distortion. However, they have a limit of removing complicated compression artifacts due to ...
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