The Experts below are selected from a list of 11298 Experts worldwide ranked by ideXlab platform
Jibril Mustefa - One of the best experts on this subject based on the ideXlab platform.
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Comparison of a Triple Inverted Pendulum Stabilization using Optimal Control Technique
2020Co-Authors: Jibril Mustefa, Tadese Messay, Alemayehu EliyasAbstract:In this paper, modelling design and analysis of a triple inverted pendulum have been done using Matlab/Script toolbox. Since a triple inverted pendulum is highly nonlinear, strongly unstable without using feedback control system. In this paper an optimal control method means a linear quadratic regulator and pole placement controllers are used to stabilize the triple inverted pendulum upside. The impulse response simulation of the open loop system shows us that the pendulum is unstable. The comparison of the closed loop impulse response simulation of the pendulum with LQR and pole placement controllers results that both controllers have stabilized the system but the pendulum with LQR controllers have a high overshoot with long settling time than the pendulum with pole placement controller. Finally the comparison results prove that the pendulum with pole placement controller improve the stability of the system
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Comparison of active and semi-active suspension systems using robust controller
2020Co-Authors: Jibril MustefaAbstract:Suspension system is used to fulfil the criteria of ride comfort and road handling. In this paper, a quarter car active & semi-active suspension systems are designed using Matlab/Script software. Comparison of active & semi-active suspension systems are done using robust control theory for the control targets suspension deflection, body acceleration and body travel. H infinity controller is selected to compare the two suspensions using time domain analysis. Finally the simulation result prove the effectiveness of the active suspension system by decreasing the body acceleration & sustaining the suspension deflection and body travel outputs
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Quarter car active suspension system design using optimal and robust control method
2020Co-Authors: Jibril MustefaAbstract:This paper offers with the theoretical and computational evaluation of optimal& robust controlproblems, with the goal of providing answers to them with Matlab simulation.For the robust control, -synthesis controller and for the optimal control, LQR controller are designed for a quarter car active suspension system to maximize the ride comfort and road handling criteria’s of the vehicle. The proposed controllers are designed using Matlab Script program using time domain analysis for the four road disturbances (bump, random sine pavement and white noise) for the control targets suspension deflection, body acceleration and body travel. Finally the simulation result proves the effectiveness of the active suspension system with -synthesis controller
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Comparison of Active and Semi-active Suspension Systems Using Robust Controller
'International Institute for Science Technology and Education', 2020Co-Authors: Jibril MustefaAbstract:Suspension system is used to fulfil the criteria of ride comfort and road handling. In this paper, a quarter car active & semi-active suspension systems are designed using Matlab/Script software. Comparison of active & semi-active suspension systems are done using robust control theory for the control targets suspension deflection, body acceleration and body travel. H infinity controller is selected to compare the two suspensions using time domain analysis. Finally the simulation result prove the effectiveness of the active suspension system by decreasing the body acceleration & sustaining the suspension deflection and body travel outputs. Index Terms--- Active suspension system, semi-active suspension system, H infinity controller DOI: 10.7176/ISDE/11-3-03 Publication date: April 30th 202
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Quarter Car Active Suspension System Design Using Optimal and Robust Control Method
Industrial Engineering Letters, 2020Co-Authors: Jibril Mustefa, Alluvada PrashanthAbstract:This paper offers with the theoretical and computational evaluation of optimal & robust control problems, with the goal of providing answers to them with Matlab simulation. For the robust control, -synthesis controller and for the optimal control, LQR controller are designed for a quarter car active suspension system to maximize the ride comfort and road handling criteria’s of the vehicle. The proposed controllers are designed using Matlab Script program using time domain analysis for the four road disturbances (bump, random sine pavement and white noise) for the control targets suspension deflection, body acceleration and body travel. Finally the simulation result prove the effectiveness of the active suspension system with -synthesis controller. Keywords:Quarter car active suspension system, optimal control, robust control, linear quadratic regulator DOI: 10.7176/IEL/10-2-04 Publication date:March 31st 202
Oliver S. Boyd - One of the best experts on this subject based on the ideXlab platform.
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An efficient Matlab Script to calculate heterogeneous anisotropically elastic wave propagation in three dimensions
Computers & Geosciences, 2006Co-Authors: Oliver S. BoydAbstract:We have created a second-order finite-difference solution to the anisotropic elastic wave equation in three dimensions and implemented the solution as an efficient Matlab Script. This program allows the user to generate synthetic seismograms for three-dimensional anisotropic earth structure. The code was written for teleseismic wave propagation in the 1-0.1Hz frequency range but is of general utility and can be used at all scales of space and time. This program was created to help distinguish among various types of lithospheric structure given the uneven distribution of sources and receivers commonly utilized in passive source seismology. Several successful implementations have resulted in a better appreciation for subduction zone structure, the fate of a transform fault with depth, lithospheric delamination, and the effects of wavefield focusing and defocusing on attenuation. Companion Scripts are provided which help the user prepare input to the finite-difference solution. Boundary conditions including specification of the initial wavefield, absorption and two types of reflection are available.
Rafał Weron - One of the best experts on this subject based on the ideXlab platform.
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SCAR_EXAMPLE: Matlab codes and data for "On the importance of the long-term seasonal component in day-ahead electricity price forecasting"
2016Co-Authors: Jakub Nowotarski, Rafał WeronAbstract:This Matlab Script illustrates the concepts and methods presented in J. Nowotarski, R. Weron (2016) "On the importance of the long-term seasonal component in day-ahead electricity price forecasting", Energy Economics 57, 228-235 (http://dx.doi.org/10.1016/j.eneco.2016.05.009) and together with the accompanying codes and data files can be used to replicate the Figures and Tables in the text. To obtain all entries in Table 1, change arxFlag, seasFlag and smoothing parameters. The function scar.m can be used to calibrate both the newly introduced Seasonal Component AutoRegressive class of models (SCAR, SCARX), as well as the classical AR and ARX models. The zip file includes one Script (main.m), one m-file (scar.m) and three data files.
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LTSC_EXAMPLE: Matlab example Script and data for "Robust estimation and forecasting of the long-term seasonal component of electricity spot prices"
2013Co-Authors: Jakub Nowotarski, Rafał WeronAbstract:This Matlab Script illustrates the concepts and methods presented in J.Nowotarski, J.Tomczyk, R.Weron (2013) "Robust estimation and forecasting of the long-term seasonal component of electricity spot prices", Energy Economics 39, 13-27 (http://dx.doi.org/10.1016/j.eneco.2013.04.004). The zip file includes one Script and one data file. The Script requires 3 Matlab functions for proper operation: ltscsimple.m, ltscsin.m and ltscwave.m available from http://ideas.repec.org/s/wuu/hscode.html.
Eric R. Dufresne - One of the best experts on this subject based on the ideXlab platform.
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surface tensiometry of phase separated protein and polymer droplets by the sessile drop method
arXiv: Soft Condensed Matter, 2020Co-Authors: Mahdiye Ijavi, Leonidas Emmanouilidis, Sandro M Meier, Alexandre L Torzynski, Frederic H T Allain, Yves Barral, Michel O. Steinmetz, Robert W. Style, Anil Kumar, Eric R. DufresneAbstract:Phase separated macromolecules play essential roles in many biological and synthetic systems. Physical characterization of these systems can be challenging because of limited sample volumes, particularly for phase-separated proteins. Here, we demonstrate that a classic method for measuring the surface tension of liquid droplets, based on the analysis of the shape of a sessile droplet, can be effectively scaled down for this application. The connection between droplet shape and surface tension relies on the density difference between the droplet and its surroundings. This can be determined with small sample volumes in the same setup by measuring the droplet sedimentation velocity. An interactive Matlab Script for extracting the capillary length from a droplet image is included in the ESI.
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surface tensiometry of phase separated protein and polymer droplets by the sessile drop method
arXiv: Soft Condensed Matter, 2020Co-Authors: Mahdiye Ijavi, Leonidas Emmanouilidis, Sandro M Meier, Alexandre L Torzynski, Frederic H T Allain, Yves Barral, Michel O. Steinmetz, Robert W. Style, Anil Kumar, Eric R. DufresneAbstract:Phase separated macromolecules play essential roles in many biological and synthetic systems. Physical characterization of these systems can be challenging because of limited sample volumes, particularly for phase-separated proteins. Here, we demonstrate that a classic method for measuring the surface tension of liquid droplets, based on the analysis of the shape of a sessile droplet, can be effectively scaled down for this application. The connection between droplet shape and surface tension relies on the density difference between the droplet and its surroundings. This can be determined with small sample volumes in the same setup by measuring the droplet sedimentation velocity. An interactive Matlab Script for extracting the capillary length from a droplet image is included in the ESI.
Graciela Lidia Boccaccio - One of the best experts on this subject based on the ideXlab platform.
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BUHO: a Matlab Script for the study of stress granules and processing bodies by high-throughput image analysis.
PloS one, 2012Co-Authors: Marcelo Perez-pepe, Victoria Slomiansky, Mariela Loschi, Luciana Luchelli, Maximiliano Neme, María Gabriela Thomas, Graciela Lidia BoccaccioAbstract:The spontaneous and reversible formation of foci and filaments that contain proteins involved in different metabolic processes is common in both the nucleus and the cytoplasm. Stress granules (SGs) and processing bodies (PBs) belong to a novel family of cellular structures collectively known as mRNA silencing foci that harbour repressed mRNAs and their associated proteins. SGs and PBs are highly dynamic and they form upon stress and dissolve thus releasing the repressed mRNAs according to changes in cell physiology. In addition, aggregates containing abnormal proteins are frequent in neurodegenerative disorders. In spite of the growing relevance of these supramolecular aggregates to diverse cellular functions a reliable automated tool for their systematic analysis is lacking. Here we report a Matlab Script termed BUHO for the high-throughput image analysis of cellular foci. We used BUHO to assess the number, size and distribution of distinct objects with minimal deviation from manually obtained parameters. BUHO successfully addressed the induction of both SGs and PBs in mammalian and insect cells exposed to different stress stimuli. We also used BUHO to assess the dynamics of specific mRNA-silencing foci termed Smaug 1 foci (S-foci) in primary neurons upon synaptic stimulation. Finally, we used BUHO to analyze the role of candidate genes on SG formation in an RNAi-based experiment. We found that FAK56D, GCN2 and PP1 govern SG formation. The role of PP1 is conserved in mammalian cells as judged by the effect of the PP1 inhibitor salubrinal, and involves dephosphorylation of the translation factor eIF2α. All these experiments were analyzed manually and by BUHO and the results differed in less than 5% of the average value. The automated analysis by this user-friendly method will allow high-throughput image processing in short times by providing a robust, flexible and reliable alternative to the laborious and sometimes unfeasible visual scrutiny.