scholarly journals The Construction Parameter Optimization of High-Speed Pantograph

2021 ◽  
Vol 2025 (1) ◽  
pp. 012094
Author(s):  
Jianpu Wang ◽  
Chenglong Ren ◽  
Lei Hong
Keyword(s):  
Parameter Optimization ◽  
High Speed ◽  
Construction Parameter

Neural-Network Based Self-Initializing Algorithm for Multi-Parameter Optimization of High-Speed ADCs

2021 ◽  
Vol 68 (1) ◽  
pp. 106-110
Author(s):  
Shrestha Bansal ◽  
Erfan Ghaderi ◽  
Chase Puglisi ◽  
Subhanshu Gupta
Keyword(s):  
Neural Network ◽  
Parameter Optimization ◽  
High Speed

The Time-Optimal Control of the 4RRR Parallel Manipulator with Input Backlash

2014 ◽  
Vol 687-691 ◽  
pp. 616-622
Author(s):  
Liang Liang Zhang ◽  
Yao Jiang ◽  
Tie Min Li
Keyword(s):  
Optimal Control ◽  
Parameter Optimization ◽  
Parallel Manipulator ◽  
High Speed ◽  
Adaptive Method ◽  
Time Optimal Control ◽  
Redundant Actuation ◽  
Actuation Redundancy ◽  
Velocity Planning ◽  
Time Optimal

A time-optimal control of a 4RRR parallel manipulator with actuation redundancy is reported. A method using both redundant actuation and velocity planning is carried out to achieve the shortest moving time of the platform travelling through an assigned path without reducing precision caused by the backlashes in the actuators. The problem is simplified and an adaptive method of time-optimal control is designed based on the characteristics such as pre-coupling of time segments and decoupling of the redundant torques and time segments of this problem. The result demonstrates that this method can solve this problem with high speed. It serves as an example of both time-optimal control in robotics and multi-parameter optimization.

High Speed ​​Gear Parametric Modeling and Dynamic Analysis

2014 ◽  
Vol 945-949 ◽  
pp. 849-852
Author(s):  
Yin Yin Liu ◽  
Man Chen Xiong ◽  
Quan Li
Keyword(s):  
Parameter Optimization ◽  
High Speed ◽  
Dynamic Performance ◽  
Parametric Modeling ◽  
Solid Model ◽  
Basic Principles ◽  
Modeling Technology ◽  
Cylindrical Gears ◽  
Adams Software ◽  
Design Calculations

In order to solve high-speed gear parametric solid modeling technology, improve the accuracy of design calculations gear, based the involute of inclined cylindrical gears tooth profile formed the basic principles, in the UG software system and through VB programming using UG’s parameter expression to modeling, constructing parameterized solid model of locomotive traction gear and the modeling of transmission. Analyzing and calculating with ADAMS software that the dynamic performance of gear system, provides the basis for speed ​​gear strength and parameter optimization.

Study on Parameter Optimization for Polishing

2010 ◽  
Vol 129-131 ◽  
pp. 1171-1175
Author(s):  
Mian Hao Zhang
Keyword(s):  
Taguchi Method ◽  
Parameter Optimization ◽  
Process Parameters ◽  
Feed Rate ◽  
Manufacturing Process ◽  
High Speed ◽  
Surface Damage ◽  
Surface Smoothing ◽  
Work Surface ◽  
Polishing Path

Polishing is a manufacturing process for surface-smoothing. To minimize surface damage and defects, gentle polishing conditions are required. The main objective of this research is to determine the effect of polishing conditions by using Taguchi method , and to optimize the process parameters to obtain the best surface possible. The experimental results indicate that a set of optimal polishing conditions for producing work surface within the range of parameters evaluated, double oblique polishing path, relatively high speed and low feed rate are desirable for improve surface.

Parameter optimization for high speed remote laser cutting of electrodes for lithium-ion batteries

2016 ◽  
Vol 28 (2) ◽  
pp. 022006 ◽  
Author(s):  
Dongkyoung Lee ◽  
Rahul Patwa ◽  
Hans Herfurth ◽  
Jyotirmoy Mazumder
Keyword(s):  
Lithium Ion Batteries ◽  
Parameter Optimization ◽  
Laser Cutting ◽  
High Speed ◽  
Lithium Ion

Design of Stability Augmentation Systems for Automotive Vehicles

1990 ◽  
Vol 112 (3) ◽  
pp. 489-495 ◽  
Author(s):  
A. Y. Lee
Keyword(s):  
Parameter Optimization ◽  
Simulation Study ◽  
High Speed ◽  
Driver Model ◽  
Passenger Vehicle ◽  
Passenger Vehicles ◽  
Yaw Rate ◽  
Directional Stability ◽  
Straight Line ◽  
Stability Augmentation

The high-speed cruising stability of passenger vehicles may be enhanced with stability augmentation systems. These systems would modify the driver’s steering command to the vehicle’s front wheels, and steer the rear wheels according to measured vehicle conditions such as its yaw-rate. In this simulation study, an explicit driver model is used in the design of these stability augmentation systems. For ease of implementation, only low-order controllers are synthesized using parameter optimization. The high-speed, straight-line stability of a passenger vehicle in a cross-wind is simulated to evaluate steering performance with these controllers. Our results show that stability augmented steering has the potential to improve the directional stability of passenger vehicles.

scholarly journals FINET: Fast Inferring NETwork

2019 ◽  
Author(s):  
Anyou Wang ◽  
Rong Hai
Keyword(s):  
Social Networks ◽  
Parameter Optimization ◽  
Regulatory Network ◽  
High Speed ◽  
Biological Network ◽  
High Accuracy ◽  
Massive Data ◽  
Command Line ◽  
Gene Regulatory ◽  
User Friendly

AbstractNumerous software have been developed to infer the gene regulatory network, a long-standing key topic in biology and computational biology. Yet the slowness and inaccuracy inherited in current software hamper their applications to the increasing massive data. Here, we develop a software, FINET (Fast Inferring NETwork), to infer a network with high accuracy and rapidity. The high accuracy results from integrating algorithms with stability-selection, elastic-net, and parameter optimization. Tested by a known biological network, FINET infers interactions with more than 94% precision (true positives/total true callings). The high speed comes from partnering parallel computations implemented with Julia, a new compiled language that runs much faster than existing languages used in the current software, such as R, Python, and MATLAB. Regardless of FINET’s implementations with Julia, users without any background in the language or computer science can easily operate it, with only a user-friendly single command line. In addition, FINET can infer other networks such as chemical networks and social networks. Overall, FINET provides a confident way to efficiently and accurately infer any type of network for any scale of data.Availability and implementation available in github https://github.com/anyouwang/finet.git

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