scholarly journals Comparative study of clustering techniques for real-time dynamic model reduction

2017 ◽  
Vol 10 (5) ◽  
pp. 263-276 ◽  
Author(s):  
Emilie Purvine ◽  
Eduardo Cotilla-Sanchez ◽  
Mahantesh Halappanavar ◽  
Zhenyu Huang ◽  
Guang Lin ◽  
...  
Keyword(s):  
Comparative Study ◽  
Model Reduction ◽  
Real Time ◽  
Dynamic Model ◽  
Clustering Techniques ◽  
Time Dynamic

Performance of a Track Geometry Car-Based Real-Time Dynamics Simulator Using Multiple Vehicle Types

2003 ◽  
Author(s):  
Clifford S. Bonaventura ◽  
Joseph W. Palese ◽  
Allan M. Zarembski
Keyword(s):  
Real Time ◽  
Dynamic Model ◽  
Dynamic Simulation ◽  
Simulation System ◽  
Time Dynamic ◽  
Track Geometry ◽  
Time Dynamics ◽  
Rail Vehicle ◽  
Empty Condition ◽  
Traveling Speed

A real-time dynamic simulation system designed to identify sections of track geometry that are likely to cause unsafe rail vehicle response is discussed. Known as TrackSafe, this system operates onboard a track geometry vehicle where the geometry measurements are passed as inputs to the dynamic model of one or more rail vehicle types. In order to comprehensively analyze the effect of the existing geometry on rail vehicle behavior, the system is capable of simultaneously simulating the response of several vehicle models, each over a range of traveling speeds. The resulting response predictions for each modeled vehicle and each simulated traveling speed are used to assess the track geometry condition and to identify locations leading to potentially unsafe response. This paper presents the latest work in the development of TrackSafe, specifically, the development and testing of eight new vehicle models is presented. The new car types modeled include a box car, flat car, and both a long and short tank car. Each can be simulated in a fully loaded or empty condition. Accuracy of the models is discussed in detail.

Application of a Real-Time Dynamic Model-Based Production System for Operations and Surveillance of Oil & Gas Gathering Networks

2010 ◽  
Author(s):  
Alberto Alva-Argaez ◽  
James Holoboff ◽  
Mohammad Khoshkbarchi ◽  
Wim Van Wassenhove ◽  
Dan Cutting
Keyword(s):  
Real Time ◽  
Dynamic Model ◽  
Production System ◽  
Time Dynamic ◽  
Model Based ◽  
Oil Gas

Pre-Clustering Techniques for Healthcare System

2021 ◽  
pp. 424-436
Author(s):  
Asadi Srinivasulu
Keyword(s):  
Comparative Study ◽  
Real Time ◽  
Healthcare System ◽  
Comparative Studies ◽  
Clustering Algorithms ◽  
Time Data ◽  
Clustering Techniques ◽  
Extensive Simulation ◽  
Real Time Data ◽  
Synthetic Datasets

This chapter presents a comparative study of the proposed approaches (i.e., extended dark block extraction [EDBE], extended cluster count extraction [ECCE], and extended co-VAT approaches). This chapter evaluates pre-clustering and post-clustering algorithms on real-time data and synthetic datasets. Unlike traditional clustering algorithms, pre-clustering algorithms provide a prior clustering on different datasets. Simulation studies are carried out using datasets having both class-labeled and unlabeled information. Comparative studies are performed between results of existing pre-clustering and proposed pre-clustering approaches. A simulated RDI-based preprocessing method is also applied for data diversification. Extensive simulation on real and synthetic datasets shows that pre-clustering algorithms with simulated RDI-based pre-processing performs better compared to conventional post-clustering algorithms.

UNDERACTUATED HAND DYNAMIC MODELING, ITS REAL-TIME SIMULATION, AND CONTROL

2010 ◽  
Vol 07 (04) ◽  
pp. 609-634 ◽  
Author(s):  
HAI HUANG ◽  
YONG-JIE PANG ◽  
JIANG LI ◽  
SHAO-WEI FAN ◽  
XIN-QING WANG ◽  
...  
Keyword(s):  
Real Time ◽  
Dynamic Model ◽  
Dynamic Models ◽  
Impedance Control ◽  
Differential Algebraic Equations ◽  
Algebraic Equations ◽  
Inverse Dynamic ◽  
Time Dynamic ◽  
Simulation And Control ◽  
And Control

The forward and inverse dynamic models of the underactuated 2-DOF finger have been established in this article based on virtual spring approach. This approach not only avoids the solution of differential-algebraic equations but also leads to a completely decoupled dynamic model that is ideal for directly inverse dynamic analysis, real-time dynamic simulation and control. To verify this approach, an underactuated 3-joint finger has been brought forward. Simulation results from Matlab/Simulink are consistent with those obtained from ADAMS grasp simulations. For the hand real-time dynamic control, the velocity observer has been established based on the dynamic model, the adaptive curve fitting with the observer has obtained precise velocity signals, made up the uncertain parameters such as torsion spring, inertial, damps, etc. and achieved ideal results. By applying dynamics model and observer, the force-based impedance control can realize more accurate and stable force control during grasp.

scholarly journals A Survey and Comparative Study of Hard and Soft Real-Time Dynamic Resource Allocation Strategies for Multi-/Many-Core Systems

2017 ◽  
Vol 50 (2) ◽  
pp. 1-40 ◽  
Author(s):  
Amit Kumar Singh ◽  
Piotr Dziurzanski ◽  
Hashan Roshantha Mendis ◽  
Leandro Soares Indrusiak
Keyword(s):  
Resource Allocation ◽  
Comparative Study ◽  
Real Time ◽  
Dynamic Resource Allocation ◽  
Time Dynamic ◽  
Dynamic Resource ◽  
Many Core ◽  
Allocation Strategies

Control Model Constructing on Real-Time Dynamic Reversible Lane in Condition of Connected Vehicle

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Lina Mao ◽  
Wenquan Li ◽  
Pengsen Hu ◽  
Guiliang Zhou ◽  
Huiting Zhang ◽  
...  
Keyword(s):  
Real Time ◽  
Control Model ◽  
Connected Vehicle ◽  
Time Dynamic
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