Abstract: This work aims at presenting a new sampled-data model-free adaptive control (SDMFAC) for continuous-time systems with the explicit use of sampling period and past input and output (I/O) data ...
Abstract: This brief is concerned with the frequency control problem of the unknown Markov jump power systems via model-free static output feedback control approach. Due to introduction of PID control ...
This repository presents Reinforcement Learning Guidance (RLG), an innovative inference-time method designed to enhance and control the alignment of diffusion models. RLG builds upon the widely used ...
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