Results 91 to 100 of about 53,295 (225)

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]

Diabetol Metab Syndr, 2022
Kang SL, Hwang YN, Kwon JY, Kim SM.
europepmc   +1 more source

Declarative vs Rule-based Control for Flocking Dynamics

, 2017
The popularity of rule-based flocking models, such as Reynolds' classic flocking model, raises the question of whether more declarative flocking models are possible.
Grosu, Radu, Lin, Shan, Mehmood, Usama, Paoletti, Nicola, Phan, Dung, Smolka, Scott A., Stoller, Scott D., Tiwari, Ashish, Yang, Junxing   +8 more
core   +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

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

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

Neural Network Predictive Controller Design

Chemical Engineering Transactions, 2017
This paper aims at showing the application of neural network predictive control (NNPC) to counter-current heat exchangers (HEs) in series for water savings. The controlled process unit is composed of five counter-current shell-and-tube heat exchangers in
A. Vasickaninova, M. Bakosova, J. Oravec, A. Meszaros   +3 more
doaj   +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

Model predictive controllers for reduction of mechanical fatigue in wind farms

, 2015
We consider the problem of dispatching WindFarm (WF) power demand to individual Wind Turbines (WT) with the goal of minimizing mechanical stresses. We assume wind is strong enough to let each WTs to produce the required power and propose different closed-
Ferrari-Trecate, Giancarlo, Mancini, Simone, Riverso, Stefano, Sarzo, Fabio   +3 more
core  

High-Resolution Extended Finite Control Set Model Predictive Control for Three-Phase Two-Level Grid-Connected Converters

IEEE Access
Finite control set model predictive control is an advanced control strategy for power converters. However, when applied to the control of grid-connected converters, it still faces several practical problems such as high current distortion, variable ...
Yonglei Zhang, Wei Jiang, Xibo Yuan, Sergio Busquets-Monge, Yan Li, Ruijie Zhu   +5 more
doaj   +1 more source