GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1 ...
Abstract: This paper proposes a reinforcement learning-based tube nonlinear model predictive control (RL-TNMPC) to achieve real-time, safe, and robust trajectory tracking for autonomous vehicles ...
The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...
Abstract: This paper proposes a novel tube-based geometric model predictive control (GMPC) framework on Lie groups for robust and real-time trajectory tracking control of robot manipulators under ...
This study aimed to develop and validate a predictive model for the decline in treatment efficacy among Parkinson’s disease (PD) patients based on clinical characteristics and biological markers, ...
Greenhouse gas emissions are a major global concern and reducing them is a key objective for governments and organizations worldwide. One of the largest agricultural contributors to greenhouse gas ...
Group of Intensification, Modeling, Simulation, Control, and Optimization of Processes (GIMSCOP). Chemical Engineering Department, Federal University of Rio Grande do Sul (UFRGS), R. Eng. Luiz Englert ...
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