The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform
V. V. Kononov - One of the best experts on this subject based on the ideXlab platform.
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A parallel algorithm for the parametric synthesis of a system for the angular stabilization of a rotating elastic beam under the action of Longitudinal Acceleration
Journal of Computer and Systems Sciences International, 2017Co-Authors: D. K. Andreichenko, K. P. Andreichenko, V. V. KononovAbstract:A parallel algorithm for the parametric synthesis of a family of controlled linearized combined dynamic systems in which the configuration of the stability regions in the feedback parameter space depends on some slowly varying design parameters is proposed. The parametric synthesis of a system for the angular stabilization of an elastic beam rotating about a Longitudinal axis under the action of a Longitudinal Acceleration is implemented. This kind of synthesis can substantially reduce the errors of the stabilization system and the typical regulation time in the entire range of the slow increase in the rotation velocity of the beam.
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On the stability of the angular stabilization system of the rotating rod under Longitudinal Acceleration
Journal of Computer and Systems Sciences International, 2013Co-Authors: D. K. Andreichenko, K. P. Andreichenko, V. V. KononovAbstract:The influence of the Longitudinal Acceleration on the stability of a discrete-continuous model of a single-channel angular stabilization system for the elastic rotating rod with the retarded argument is studied. Methods for the construction of asymptotic stability regions and analysis of impulse response functions of the hybrid dynamic system under consideration are developed. The equations of motion of this system are analyzed based on numerical methods and methods of asymptotic integration. Critical values of the Longitudinal Acceleration are found.
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On Stability Theory of Autonomous Angular Stabilization System for Combined Dynamical Systems
Izvestiya of Saratov University. New Series. Series: Mathematics. Mechanics. Informatics, 2013Co-Authors: D. K. Andreichenko, K. P. Andreichenko, V. V. KononovAbstract:Saratov State Technical University, Russia, 410054, Saratov, Polytechnicheskaya st., 77, kp_andreichenko@renet.ruStudied the effect on the stability of the Longitudinal Acceleration discretely-continuum model of single-channel angular stabilizationsystemwithofdelayedargument.Methodsofconstructionasymptoticstabilityareasandanalysisofimpulsetransitionfunctionsaredeveloped. The critical values of the Longitudinal Acceleration are defined.Key words: combined dynamical systems, stabilization systems.
Mikhael Gorokhovski - One of the best experts on this subject based on the ideXlab platform.
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Acceleration statistics of solid particles in turbulent channel flow
Physics of Fluids, 2011Co-Authors: Remi Zamansky, I. Vinkovic, Mikhael GorokhovskiAbstract:Direct numerical simulations (DNS) are used here to study inertial particle Acceleration statistics in the near-wall region of a turbulent channel flow. The study is motivated by observations in homogeneous isotropic turbulence (HIT) suggesting that when particle inertia increases, particle Acceleration variance decreases due to both particle preferential accumulation and the filtering effect of inertia. In accordance with these studies, the present DNS shows that for increasing inertia, solid particle Acceleration probability density functions (PDFs), scaled by the Acceleration root-mean-square (RMS), depart from that of the fluid. The tails of these PDFs become narrower. However, in turbulent channel flow, as the Stokes number increases up to 5, the streamwise Acceleration RMS in the near-wall region increases, while further increase of the Stokes number is characterized by the streamwise Acceleration RMS decrease. In parallel, contrary to calculations in homogeneous isotropic turbulence, the conditional Acceleration statistics of the fluid seen by the solid particle show that while the vertical and transverse Acceleration RMS components remain close to the unconditional fluid Acceleration, the Longitudinal RMS component is remarkably higher in the near wall region. This feature is more pronounced as the Stokes number is increased. Additionally, the conditional Acceleration PDFs overlap almost perfectly with the unconditional fluid PDFs, normalized by the Acceleration RMS. The enhanced Longitudinal Acceleration variance of the fluid seen by the particles may be due to the spanwise alternation of high-and-low speed streaks. Depending on inertia, particles may respond to those fluid solicitations (experiencing an increase of the Longitudinal Acceleration RMS) or ignore the wall turbulent structures (presenting in that case a more homogeneous concentration).
Tianyao Zhang - One of the best experts on this subject based on the ideXlab platform.
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HCI (36) - Human-Computer Driving Collaborative Control System for Curve Driving
Lecture Notes in Computer Science, 2020Co-Authors: Zhenhai Gao, Sun Yiteng, Xingtai Mei, Fei Gao, Tianyao ZhangAbstract:Curve driving has high requirements on the driver’s hand, foot and eye coordination ability. Therefore, the bend is a frequent accident section. In this article, the performance of novice drivers and experienced drivers driving in curves were compared. Then, we found the coordination relationship between the Longitudinal Acceleration and the lateral motion of the vehicle according to the steering behavior of experienced drivers and vehicle movement state. Based on this coordination relationship, a human-computer driving control system is proposed. The control system aims at reducing the difficulty of driving in curves, and assisting the driver to control the Longitudinal Acceleration according to the driver’s steering operation. Finally, the system was verified by means of real car experiments. By comparing Acceleration changes and steering angles with or without a cooperative control system, the feasibility and effectiveness of the control system for reducing the difficulty of driving in curves is confirmed.
Tae Lee - One of the best experts on this subject based on the ideXlab platform.
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Context Awareness of Human Motion States Using Accelerometer
Journal of Medical Systems, 2008Co-Authors: Gye Jin, Sang Lee, Tae LeeAbstract:Abstract The proposed context awareness system is composed of Acceleration data acquisition part and fuzzy inference system that processes\nacquired data, distinguishes user motion states and recognizes emergency situations. Two-axial accelerometer embedded in SenseWear\nPRO2 Armband (BodyMedia) on the right upper arm collects input data containing the Longitudinal Acceleration average (LAA), the\ntransverse Acceleration average (TAA), the Longitudinal Acceleration-mean of absolute difference (L-MAD), and transverse Acceleration\nmean of absolute difference (T-MAD). Fuzzy inference system is a tool imitating the human ability of decision making. In our\nsystem, the fuzzy inference system was used to distinguish the user motion states and to recognize emergency situations. In\nan experiment using eight subjects, the recognition rates of lying, sitting, walking and running were 98.9%, 98.9%, 99.7%\nand 99.9%, respectively. Recognition rate for lying after walking and lying after running was 100%.
John R. Wagner - One of the best experts on this subject based on the ideXlab platform.
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ACC - Creation of a driver preference objective metric to evaluate ground vehicle steering systems
Proceedings of the 2011 American Control Conference, 2011Co-Authors: J. Black, Erhun Iyasere, John R. WagnerAbstract:The evaluation of vehicle steering systems has typically been performed by engineers and consumer focus groups using in-vehicle and automotive simulator studies. In the latter case, driver preferences have been extensively gathered using written questionnaires. However, this delays the testing procedure and may introduce outside influences that may skew the results. In this paper, an objective steering preference metric has been created to gather steering preferences without directly communicating with the driver. Streaming vehicle data has been recorded, processed, and correlated with subjective response data to create a global steering preference metric. A combination of the vehicle's yaw rate, Longitudinal Acceleration, and lateral Acceleration demonstrated an excellent correlation with survey responses regardless of the steering setting. Furthermore, changes in the steering ratio resulted in an even stronger correlation between the objective data (Longitudinal Acceleration, front tire angle, and throttle position) and test subject questionnaire responses. Overall, the proposed index offers a unique approach to evaluate steering system designs.
