2 citations · 2 across the 5 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.LG2024
Real-Time Safe Control of Neural Network Dynamic Models with Sound Approximation
Hanjiang Hu, Jianglin Lan, Changliu Liu
Safe control of neural network dynamic models (NNDMs) is important to robotics and many applications. However, it remains challenging to compute an optimal safe control in real tim…
eess.SY2024
Efficient model predictive control for nonlinear systems modelled by deep neural networks
Jianglin Lan
This paper presents a model predictive control (MPC) for dynamic systems whose nonlinearity and uncertainty are modelled by deep neural networks (NNs), under input and state constr…