Versatile visual servoing without knowledge of true jacobian.pdf cobian matrix estimator. The Jacobian matrix estimator does not need a priori knowledge of the kinematic structure and parameters of the robot system, such as camera and link parameters. The proposed visual servoing control scheme ensures the convergence of the image-features to desired trajectories, by using the estimated Jacobian matrix, which is proved by the Lyapunov stability theory. To show the effectiveness of the proposed scheme, simulation and Experimental results are presented.
标签： Versatile knowledge estimator servoing
上传时间： 2016-08-26
上传用户：大三三
In this paper we describe a control methodology for catching a fast moving object with a robot manipulator, where visual information is employed to track the trajectory of the target. Sensing, planning and control are performed in real-time to cope with possible unpredictable trajectory changes of the moving target, and prediction techniques are adopted to compensate the time delays introduced by visual processing and by the robot controller. A simple but reliable model of the robot controller has been taken into account in the control architecture for improving the performance of the system. Experimental results have shown that the robot system is capable of tracking and catching an object moving on a plane at velocities of up to 700 mm/s and accelerations of up to 1500 mm/s2.
标签： methodology describe catching control
上传时间： 2014-01-12
上传用户：qq521
一篇关于TCP-Vegas的文献:Vegas is an implementation of TCP that achieves between 37 and 71％ better throughput on the Internet, with onefifth to one-half the losses, as compared to the implementation of TCP in the Reno distribution of BSD Unix. This paper motivates and describes the three key techniques employed by Vegas, and presents the results of a comprehensive Experimental performance study—using both simulations and measurements on the Internet—of the Vegas and Reno implementations of TCP.
标签： implementation TCP-Vegas throughpu achieves
上传时间： 2014-01-08
上传用户：lwwhust
LabVIEW入门教程，计算机虚拟图形编程实验教材。Virtual instrument computer graphics programming Labview Experimental materials,an useful Getting Started Guide for Labview learners.
上传时间： 2014-01-23
上传用户：trepb001
This paper analyzes the vector control theory of asynchronous motors based on the magnetic orientation of motor rotors, and its mathematical model is made. Then the variable frequency vector speed-adjusting Experimental system is built with the DSP TMS320F2812 which works as the core control chip and intelligent power module.
标签： asynchronous orientati the analyzes
上传时间： 2013-12-08
上传用户：shinesyh
his procedure is the power spectral density of the simulation, 3 signal source on the specific circumstances, see the "modern digital signal processing" Introduction to the first volume, P202, Exercise 5. Experimental Methods
标签： the simulation procedure spectral
上传时间： 2014-01-17
上传用户：金宜
物理科学,Experimental investigation of the governing parameters in the
标签： 纺丝
上传时间： 2015-04-16
上传用户：灰原亚梨儿
Reconstruction- and example-based super-resolution (SR) methods are promising for restoring a high-resolution (HR) image from low-resolution (LR) image(s). Under large magnification, reconstruction-based methods usually fail to hallucinate visual details while example-based methods sometimes introduce unexpected details. Given a generic LR image, to reconstruct a photo-realistic SR image and to suppress artifacts in the reconstructed SR image, we introduce a multi-scale dictionary to a novel SR method that simultaneously integrates local and non-local priors. The local prior suppresses artifacts by using steering kernel regression to predict the target pixel from a small local area. The non-local prior enriches visual details by taking a weighted average of a large neighborhood as an estimate of the target pixel. Essentially, these two priors are complementary to each other. Experimental results demonstrate that the proposed method can produce high quality SR recovery both quantitatively and perceptually.
标签： Super-resolution Multi-scale Dictionary Single Image for
上传时间： 2019-03-28
上传用户：fullout
In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first compute the relative density degrees for all training points using the intra-class graph whose weights are determined by a local scaling heuristic strategy, then optimize a pair of nonparallel hyperplanes through two smaller sized support vector machine (SVM)-typed problems. In the prediction stage, BDTWSVMs assign to the class label depending on the kernel density degree-based distances from each test point to the two hyperplanes. BDTWSVMs not only inherit good properties from twin support vector machines (TWSVMs) but also give good description for data points. The Experimental results on toy as well as publicly available datasets indicate that BDTWSVMs compare favorably with classical SVMs and TWSVMs in terms of generalization
标签： recognition Bi-density machines support pattern vector twin for
上传时间： 2019-06-09
上传用户：lyaiqing
The idea of writing this book entitled “Cognitive Networked Sensing and Big Data” started with the plan to write a briefing book on wireless distributed computing and cognitive sensing. During our research on large-scale cognitive radio network (and its Experimental testbed), we realized that big data played a central role. As a result, the book project reflects this paradigm shift. In the context, sensing roughly is equivalent to “measurement.”
标签： Cognitive Networked Sensing Data Big and
上传时间： 2020-05-26
上传用户：shancjb
