Results 61 to 70 of about 248,906 (193)
Grid side converters of renewable power plants have to be capable of dealing with severe grid disturbances, such as, grid faults and voltage sags. Model‐based predictive control provides outstanding performance to grid side converters: fast dynamic ...
Dionisio Ramirez +3 more
doaj +1 more source
Custom Non-Linear Model Predictive Control for Obstacle Avoidance in Indoor and Outdoor Environments
Navigating complex environments requires Unmanned Aerial Vehicles (UAVs) and autonomous systems to perform trajectory tracking and obstacle avoidance in realtime.
Wzorek, Mariusz +3 more
core +3 more sources
Model Predictive Control (MPC) has been proposed several times for automotive control, with promising results, mostly based on a linear MPC approach. However, as most automotive systems are nonlinear, Nonlinear MPC (NMPC) would be an interesting option.
Wang X. +3 more
doaj +1 more source
Non-linear Model Predictive Control Based Motion Planning Among People
The scope of this thesis is to develop a non-linear model predictive control (NMPC) based path planning for a non-holonomic mobile robot. The purpose of the planner is to enable the PAL moving base robotic platform to navigate in a dynamic environment ...
Jensen, Martin Bieber +2 more
core
Optimal control for wave energy converters: Non-linear model predictive control approach [PDF]
Obtaining cost competitiveness is the major challenge facing ocean wave energy technology. Reducing the structural cost of wave energy converters (WEC) and improving energy capture are two ways to decrease its levelised cost of energy (LCOE).
Guerrero Fernández, Juan Luis
core
The platoon control of connected and automated vehicles is an important topic in transportation research. The characteristics of non‐linearities, external disturbances, and strong coupling are non‐negligible in two‐dimensional motion control.
Xiaorong Hu, Yao Shi, Lei Xie, Hongye Su
doaj +1 more source
An important research gap in the field of switched systems is the design of fault tolerant control for Lipschitz non-linear delayed switched systems using a model predictive method.
Weiwei Tong, Shaohui Wang
doaj +1 more source
This paper studies a cooperative modeling framework to reduce the complexity in deriving the governing dynamical equations of complex systems composed of multiple bodies such as biped robots and unmanned aerial and ground vehicles.
Baris Taner , Kamesh Subbarao
doaj +1 more source
Model-Based Optimizing Control and Estimation Using Modelica Model [PDF]
This paper reports on experiences from case studies in using Modelica/Dymola models interfaced to control and optimization software, as process models in real time process control applications. Possible applications of the integrated models are in state-
L. Imsland, P. Kittilsen, T.S. Schei
doaj +1 more source
In this paper, an Insulin Infusion Advisory System (IIAS) for Type 1 diabetes patients, which use insulin pumps for the Continuous Subcutaneous Insulin Infusion (CSII) is presented.
Aikaterini Prountzou +17 more
core +1 more source

