Sep 14, 2024 ， We consider the problem of improving the computational efficiency of Model Predictive Control (MPC) algorithms for general nonlinear systems under non-convex ...

Sep 19, 2024 ， In this paper, we address the problem of reducing the computational burden of Model Predictive Control (MPC) for real-time robotic applications.

7 days ago ， We implement both solvers on GPUs and demonstrate their computational efficiency and scalability on a set of numerical examples. The remainder of the paper is ...

Sep 12, 2024 ， It provides implementations of Model Predictive Path Integral (MPPI) , Tube-Model Predictive Path Integral (Tube MPPI), and Robust Model Predictive Path ...

Sep 19, 2024 ， To do so, we leverage robust model predictive control (MPC) to control the system using the perception estimates while maintaining the feasibility of a ...

Sep 13, 2024 ， What type of optimization problem do we want to solve? Hybridize mechanistic, model-based optimization with surrogate models learned from data min x,y f0(x ...

7 days ago ， In this paper, we derived strong iterative convex relaxations for quadratic optimization problems with M-matrices and indicators, of which signal estimation ...

Sep 21, 2024 ， Collision-Free Robot Navigation in Crowded Environments Using Learning Based Convex Model Predictive Control. Wen, ZhuangLei, China Jiliang University. Dong ...

Sep 18, 2024 ， To this aim a convex Model Predictive Control formulation is employed to track the RL-based trajectory, while simultaneously enforcing compliance with the ...

Sep 12, 2024 ， This paper provides an in-depth survey of recent advancements in BFT for DML, with a focus on first-order optimisation methods.