Today's large language models tend to have large parameters, and consumer-grade computers are slow to do simple inference, let alone train a model from scratch. The goal of this project is to organize ...
Abstract: This article proposes an error-based model-free adaptive performance tuning control (E-MFAPTC) strategy with disturbance rejection for a class of discrete-time nonlinear systems. First, the ...
Abstract: Accurate controller tuning is important for ensuring optimal performance in flow control processes, particularly onboard ships, where precise control of fluid systems such as oil, gas, and ...
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