Load Frequency Control of an Isolated Micro Grid Using Fuzzy Adaptive Model Predictive Control
This paper presents a fuzzy adaptive model predictive approach for load frequency control of an isolated micro grid. A generalized state space model of a typical isolated micro grid having controllable and uncontrollable generating power sources is ...
S. Kayalvizhi, D. M. Vinod Kumar
doaj +1 more source
Regulador MPC de tensão e velocidade integrado para unidades geradoras hidrelétricas [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Automação e Sistemas, Florianópolis, 2013.Um conjunto razoável de objetivos de controle está associado à geração de energia ...
Menarin, Henrique Augusto
core
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
Convergence and stability analysis of the Extended Infinite Horizon Model Predictive Control.
Model Predictive Control (MPC) is a popular technology to operate industrial systems. It refers to a class of control algorithms that use an explicit model of the system to obtain the control action by minimizing a cost function.
Luz A Alvarez +2 more
doaj +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
Performance change detection and recovery in inferential control loops
Abstract In most industrial environments, soft sensors are crucial for estimating variables that are hard to measure. It is critical that these variables be estimated quickly and accurately because they are closely linked to plant safety and profit. Therefore, performance drift in the soft sensors cannot be ignored.
Xuanhui Zhai, Yuri A. W. Shardt
wiley +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
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
This review comprehensively outlines molecular modification strategies for steering CO2 electroreduction toward C2+ products, including the classification of diverse molecular structures, elucidation of their roles in microenvironment regulation, dissection of C–C coupling pathway engineering, and forward‐looking perspectives on machine learning and ...
Lingling Peng, Hanwen Liu, Tianyou Peng
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

