Results 31 to 40 of about 22,233,261 (243)

Real-time Control Method for Urban Drainage Systems Based on Coupled Unscented Kalman Filter [PDF]

长江科学院院报
[Objective] Model Predictive Control （MPC） has been increasingly applied to the coordinated regulation of sluices and pumps in urban drainage systems to maximize the utilization of existing storage capacity and mitigate waterlogging risks.
CHEN Yang, WANG Zhu-qiao, GUO Yu-chao
doaj   +1 more source

Model Predictive Base Direct Speed Control of Induction Motor Drive—Continuous and Finite Set Approaches

Energies, 2020
In the paper a comparative study of the two control structures based on MPC (Model Predictive Control) for an electrical drive system with an induction motor are presented.
Karol Wróbel, Piotr Serkies, Krzysztof Szabat   +2 more
doaj   +1 more source

Nonparametric nonlinear model predictive control [PDF]

, 2004
Model Predictive Control (MPC) has recently found wide acceptance in industrial applications, but its potential has been much impeded by linear models due to the lack of a similarly accepted nonlinear modeling or databased technique.
Kashiwagi, H, Li, Y.
core   +2 more sources

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Model Predictive Control of Doubly Fed Induction Motors Based on Fuzzy Logic

Machines
Model predictive control (MPC) has become an attractive solution for doubly fed induction motors (DFIMs) due to its fast dynamic response and multi-variable constraint handling capability.
Xueyan Wang, Zhijun Ou, Fobao Zhou, Hang Zhao, Yiming Ma   +4 more
doaj   +1 more source

Application of Model Predictive Control to BESS for Microgrid Control

Energies, 2015
Battery energy storage systems (BESSs) have been widely used for microgrid control. Generally, BESS control systems are based on proportional-integral (PI) control techniques with the outer and inner control loops based on PI regulators.
Thai-Thanh Nguyen, Hyeong-Jun Yoo, Hak-Man Kim   +2 more
doaj   +1 more source

Economic model predictive control: Some design tools and analysis techniques [PDF]

, 2018
In recent years, Economic Model Predictive Control has emerged as a variant of traditional (tracking) MPC which aims at maximizing economic profitability by directly minimizing, over a receding prediction horizon, the costs incurred in system’s operation.
Angeli, David, Muller, Matthias, David Angeli, Matthias A. Müller   +3 more
core   +1 more source

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

Advanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

Model Predictive Direct Power Control for Virtual-Flux-Based VSR With Optimal Switching Sequence

IEEE Access, 2022
Three-phase voltage-source rectifier (VSR) has been widely used in energy, industry and other fields in the past few years. Model predictive control with optimal switching sequence (OSS-MPC) has further reduced output current THD and ripples with a ...
Han Shi, Xiang Rong, Ping Tuo, Yuxuan Yao, Zheng Gong   +4 more
doaj   +1 more source

Applications Oriented Optimal Input Design for MPC: An analysis of a quadruple water tank process [PDF]

, 2013
Model predictive control (MPC) makes use of a model of the system, therefore performances are highly dependent on the accuracy of the model chosen. Applications oriented optimal input design enables optimization of the system identification experiments ...
Balsemin, Antonio
core