Model-based Management and Control of the Bioreactions in a Collection System

The exploration of planetary surfaces with unmanned wheeled vehicles will require sophisticated software for guidance, navigation and control. Future missions will be designed to study harsh environments that are characterized by rough terrains and extreme conditions. An accurate knowledge of the trajectory of planetary rovers is fundamental to accomplish the scientific goals of these missions. This paper presents a method to improve rover localization through the processing of wheel odometry (WO) and inertial measurement unit (IMU) data only. By accurately defining the dynamic model of both a rover’s wheels and the terrain, we provide a model-based estimate of the wheel slippage to correct the WO measurements. Numerical simulations are carried out to better understand the evolution of the rover’s trajectory across different terrain types and to determine the benefits of the proposed WO correction method.

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PWM spectrum analysis and optimization for model based condition monitoring and control

Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248) ◽

10.1109/ias.2001.955686 ◽

2002 ◽

Cited By ~ 3

Author(s):

L.C. Benn ◽

B. Burton ◽

R.G. Harley

Keyword(s):

Condition Monitoring ◽

Spectrum Analysis ◽

Monitoring And Control ◽

Model Based ◽

And Control

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Model-based optimization of equipment and control for heat flux measurements in a laboratory fermentor

Biotechnology Progress ◽

10.1021/bp00035a005 ◽

1995 ◽

Vol 11 (5) ◽

pp. 525-532 ◽

Cited By ~ 6

Author(s):

Bastiaan H. A. van Kleeff ◽

J. Gijs Kuenen ◽

Ger Honderd ◽

Sef J. Heijnen

Keyword(s):

Heat Flux ◽

Model Based ◽

Flux Measurements ◽

And Control ◽

Laboratory Fermentor

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Aim: To determine the efficacy of health beliefs model –based intervention in changing the belief related to substance use among university student in Mosul city-Iraq.

10.20944/preprints202104.0547.v1 ◽

2021 ◽

Author(s):

Arkan Bahlol Naji ◽

Nasir Muwfaq Younis

Keyword(s):

Substance Use ◽

Health Beliefs ◽

Undergraduate Student ◽

Controlled Trial ◽

University Student ◽

Simple Random Sample ◽

Control Group ◽

Model Based ◽

Engineering Sciences ◽

And Control

Abstract Aim: To determine the efficacy of health beliefs model –based intervention in changing the belief related to substance use among university student in Mosul city-Iraq. Design: A randomized controlled trial. Methods: A probability (simple random sample) of (N=80) undergraduate student in different specialties would be selected. The study sample will be recruited from (4) colleges in the University of Mosul's Engineering, Sciences, Medicine and Education Colleges. The sample will be randomly assigned into experimental and control groups of (40) undergraduate student for each group. Such chosen is employed of pool of topics that have the criteria contain students who have using on (Smoking, Hookah, Drug abuse and Alcohol).For during from 25of October / 2019 till 1 of February/2021. Data is analyzed using the "Statistical Package for Social Science" (SPSS) software for Windows (V:26). Results: This finding indicated that before the intervention, mean scores for all concepts of HBM, add to Motivation, Control, and behaviors intensions of students they were almost equal. However, after the intervention were significantly different in the study group, while it was not significant in the control group. Conclusion:This study concluded that designing an HBM-based study could affect students' understanding and their behaviors in the field of substance abuse. Considering the positive correlation between construct of HBM, particularly in "perceived benefits and perceived severity" related to students’ beliefs. These beliefs implied a significant correlation with each other and with the attention to the prevention of addiction.

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A model based study on the dynamics of COVID-19: Prediction and control

Chaos Solitons & Fractals ◽

10.1016/j.chaos.2020.109889 ◽

2020 ◽

Vol 136 ◽

pp. 109889 ◽

Cited By ~ 34

Author(s):

Manotosh Mandal ◽

Soovoojeet Jana ◽

Swapan Kumar Nandi ◽

Anupam Khatua ◽

Sayani Adak ◽

...

Keyword(s):

Model Based ◽

Prediction And Control ◽

And Control

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Model-Based Optimization of Velocity Strategy for Lightweight Electric Racing Cars

Journal of Advanced Transportation ◽

10.1155/2018/3614025 ◽

2018 ◽

Vol 2018 ◽

pp. 1-20 ◽

Cited By ~ 6

Author(s):

Mirosław Targosz ◽

Wojciech Skarka ◽

Piotr Przystałka

Keyword(s):

Numerical Model ◽

Energy Efficient ◽

Atmospheric Conditions ◽

Vehicle Model ◽

Model Based ◽

Race Track ◽

Functional Features ◽

Race Conditions ◽

Vehicle Dynamic Model ◽

And Control

The article presents a method for optimizing driving strategies aimed at minimizing energy consumption while driving. The method was developed for the needs of an electric powered racing vehicle built for the purposes of the Shell Eco-marathon (SEM), the most famous and largest race of energy efficient vehicles. Model-based optimization was used to determine the driving strategy. The numerical model was elaborated in Simulink environment, which includes both the electric vehicle model and the environment, i.e., the race track as well as the vehicle environment and the atmospheric conditions. The vehicle model itself includes vehicle dynamic model, numerical model describing issues concerning resistance of rolling tire, resistance of the propulsion system, aerodynamic phenomena, model of the electric motor, and control system. For the purpose of identifying design and functional features of individual subassemblies and components, numerical and stand tests were carried out. The model itself was tested on the research tracks to tune the model and determine the calculation parameters. The evolutionary algorithms, which are available in the MATLAB Global Optimization Toolbox, were used for optimization. In the race conditions, the model was verified during SEM races in Rotterdam where the race vehicle scored the result consistent with the results of simulation calculations. In the following years, the experience gathered by the team gave us the vice Championship in the SEM 2016 in London.

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Elections and the Regression Discontinuity Design: Lessons from Close U.S. House Races, 1942–2008

Political Analysis ◽

10.1093/pan/mpr032 ◽

2011 ◽

Vol 19 (4) ◽

pp. 385-408 ◽

Cited By ~ 188

Author(s):

Devin Caughey ◽

Jasjeet S. Sekhon

Keyword(s):

Regression Discontinuity ◽

Covariate Adjustment ◽

Regression Discontinuity Design ◽

Present Evidence ◽

Model Based ◽

Covariate Balance ◽

Ex Ante ◽

And Control

Following David Lee's pioneering work, numerous scholars have applied the regression discontinuity (RD) design to popular elections. Contrary to the assumptions of RD, however, we show that bare winners and bare losers in U.S. House elections (1942–2008) differ markedly on pretreatment covariates. Bare winners possess largeex antefinancial, experience, and incumbency advantages over their opponents and are usually the candidates predicted to win byCongressional Quarterly's pre-election ratings. Covariate imbalance actually worsens in the closest House elections. National partisan tides help explain these patterns. Previous works have missed this imbalance because they rely excessively on model-based extrapolation. We present evidence suggesting that sorting in close House elections is due mainly to activities on or before Election Day rather than postelection recounts or other manipulation. The sorting is so strong that it is impossible to achieve covariate balance between matched treated and control observations, making covariate adjustment a dubious enterprise. Although RD is problematic for postwar House elections, this example does highlight the design's advantages over alternatives: RD's assumptions are clear and weaker than model-based alternatives, and their implications are empirically testable.

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