Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...
Abstract: This paper proposes a model for hierarchical combination of deep reinforcement learning (DRL) with quadratic programming for distribution system restoration after major outages. In the ...
Abstract: This paper presents an adaptive control allocation technique for a general class of overactuated systems. The derived control effectiveness matrix is in the form of a dynamic update law.
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