MXenes as a Versatile Platform for High‐Energy‐Density Asymmetric Supercapacitors
MXenes with high conductivity and tunable surface chemistry are reviewed as advanced electrodes for asymmetric supercapacitors. MAX‐phase synthesis, surface and interlayer engineering, defect modulation, and composite designs are discussed, highlighting enhanced ion transport, pseudocapacitance, energy density, cycling stability, and sustainable routes
Seul‐Yi Lee +3 more
wiley +1 more source
Motivated by the emergent reasoning capabilities of Vision Language Models (VLMs) and their potential to improve the comprehensibility of autonomous driving systems, this paper introduces a closed-loop autonomous driving controller called VLM-MPC, which combines the Model Predictive Controller (MPC) with VLM to evaluate how model-based control could ...
Keke Long +3 more
openaire +2 more sources
Extremum Seeking-based Iterative Learning Model Predictive Control (ESILC-MPC)
In this paper, we study a tracking control problem for linear time-invariant systems, with model parametric uncertainties, under input and states constraints. We apply the idea of modular design introduced in Benosman et al. 2014, to solve this problem in the model predictive control (MPC) framework.
Anantharaman Subbaraman +1 more
openaire +2 more sources
Comparison of PSA and amine‐based absorption for syngas purification shows that PSA offers lower energy intensity, global warming potential, and minimum selling price, making it a more sustainable option. However, absorption achieves higher syngas purity. A GREENSCOPE‐based multi‐criteria assessment guides optimal process selection.
Magno Fonseca Santos +2 more
wiley +1 more source
Model predictive control in light naphtha distillation column of gasoline hydrogenation process
The main scope of this research is for designing and implementing of model predictive control (MPC) on the light naphtha distillation column of gasoline hydrogenation process.
Kornkrit Chiewchanchairat +2 more
doaj +1 more source
Fast Trajectory Tracking Control Algorithm for Autonomous Vehicles Based on the Alternating Direction Multiplier Method (ADMM) to the Receding Optimization of Model Predictive Control (MPC). [PDF]
Dong D, Ye H, Luo W, Wen J, Huang D.
europepmc +1 more source
Application of dynamic modelling and model‐based predictive control to enhance a cooling tower
Model predictive control (MPC) applied to improve the operation of cooling towers. Abstract Model predictive control (MPC) differs from traditional feedback control by making predictions within a time horizon, providing better control actions for the process.
Douglas de Almeida Giardini +4 more
wiley +1 more source
Effectiveness and safety of a model predictive control (MPC) algorithm for an artificial pancreas system in outpatients with type 1 diabetes (T1D): systematic review and meta-analysis. [PDF]
Kang SL, Hwang YN, Kwon JY, Kim SM.
europepmc +1 more source
Repurposing Drugs for Malaria through a Human Dose Prediction: A Case Study with Berzosertib
Repurposing drugs whose clinical safety has been established offers a valuable approach to reduce the cost and time associated with the development of new drugs for malaria. Here, we investigate the potential to repurpose the anticancer kinase inhibitor berzosertib for the treatment of malaria, by assessing whether a predicted efficacious human dose ...
Devasha Redhi +5 more
wiley +1 more source
An MPC-driven VSL control of motorway traffic by employing a continuum second-order traffic model
Variable speed limit (VSL) system driven by model predictive control (MPC) is implemented as a proactive traffic control measure for effective and safer traffic flow operations.
Waheed Imran +4 more
doaj +1 more source

