This project presents the design and simulation of a quadcopter flight control system based on Model Predictive Control (MPC). The objective is to achieve stable, smooth, and constraint-aware ...
A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...
Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Abstract: The application of finite control set model-free predictive control (FCS-MFPC) in power electronics eliminates the controller’s dependence on an explicit system model. However, high ...
Advances in methods that allow targeted remote control of neuronal activity open new possibilities for investigating and manipulating the function of neuronal circuits in vivo. The group of Michael ...
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