Results 81 to 90 of about 7,728 (248)

QSID-MPC: Model Predictive Control With System Identification From Quantized Data

IEEE Control Systems Letters
Least-square system identification is widely used for data-driven model-predictive control (MPC) of unknown or partially known systems. This letter investigates how the system identification and subsequent MPC is affected when the state and input data is quantized. Specifically, we examine the fundamental connection between model error and quantization
Shahab Ataei, Dipankar Maity, Debdipta Goswami   +2 more
openaire   +2 more sources

Next‐Generation Carbon‐Based Anodes for Alkali Metal‐Ion Batteries: Recent Progress on Biphenylene and Emerging Materials

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Recent advances in carbon‐based anodes for alkali metal‐ion batteries are critically reviewed, with emphasis on biphenylene and other emerging carbon allotropes. Biphenylene exhibits exceptional theoretical electrochemical properties beyond conventional graphite, highlighting its strong potential as a next‐generation anode material once scalable ...
Adewale Hammed Pasanaje, Nirpendra Singh
wiley   +1 more source

Management of ring chromosome 20 syndrome: Narrative review and consensus recommendations

Epilepsia, EarlyView.
Abstract Ring chromosome 20 (ring 20) is a rare genetic condition usually presenting as developmental and epileptic encephalopathy. The disease is caused by fusion of the long and short arms of chromosome 20. Patients are symptomatic even if there is no loss of genetic material.
Asma Khamis, Emilia Ricci, Maria Paola Canevini, Lieven Lagae, Kentaro Tokumoto, Yushi Inoue, Tim Buckinx, Allison Watson, Kenneth A. Myers   +8 more
wiley   +1 more source

Economic and Distributed Model Predictive Control: Recent Developments in Optimization-Based Control

SICE Journal of Control, Measurement, and System Integration, 2017
The goal of this paper is to give an overview of some recent developments in the field of model predictive control. After a brief introduction to the basic concepts and available stability results, we in particular set our focus on the areas of ...
Matthias A. Müller, Frank Allgöwer   +1 more
doaj   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

Adaptive Fuzzy Energy Management of Wind‐Battery Systems With Flexible Desalination Load

Energy Science &Engineering, EarlyView.
An adaptive fuzzy energy management strategy is proposed for a wind‐battery‐powered reverse osmosis desalination system. The controller dynamically adjusts the desalination load based on wind power availability and the battery state of charge to reduce battery stress.
Mustafa Fadel, Fajer M. Alelaj, Hussain Al‐Sairfi, Mansour Ahmed   +3 more
wiley   +1 more source

Electric Vehicle Model Predictive Control Energy Management Strategy: Theory, Applications, Perspectives and Challenges

Energies
Model predictive control (MPC) has become one of the most promising control strategies in the field of electric vehicle energy management due to its rolling optimization and explicit constraint processing capabilities.
Xiaohuan Zhao, Guanda Huang, Kaijian Lei, Xiangkai Huang, Yuanhong Zhuo, Jiayi Zhao   +5 more
doaj   +1 more source

A Simplified Two‐Vector Approach for Common‐Mode Voltage Reduction in Model Predictive Control Drives of Permanent Magnet Synchronous Motor

Energy Science &Engineering, EarlyView.
In this study, a modified model predictive control scheme is proposed, in which a dedicated weighting factor is incorporated into the cost function to explicitly account for common‐mode voltage (CMV) effects during the control process. This modification leads to a significant reduction—up to 40%—in the magnitude of the generated CMV.
Javad Amini, Reza Roshanafekr
wiley   +1 more source

A Fractional-Order Model Predictive Control Strategy with Takagi–Sugeno Fuzzy Optimization for Vehicle Active Suspension System

Fractal and Fractional
Aiming at the problem of system controller performance failure caused by improperly setting the value of each weighting coefficient of the model predictive control (MPC), a fractional-order MPC strategy with Takagi–Sugeno fuzzy optimization (T–SFO MPC ...
Qianjie Liu, Bo Hu, Wei Liu, Jiantao Li, Wenwen Yu, Gang Li, Guoliang Hu   +6 more
doaj   +1 more source

Safety Risk Management In Large Scale Engineering Based On Model Predictive Control

Cybernetics and Information Technologies, 2014
Safety risk during the construction of a Large Scale Engineering (LSE) project can be avoided through safety education, following a correct procedure and using an engineering method. In order to ensure that LSE works in a safe state, some parameters need
Jianfeng Qiao
doaj   +1 more source