On-line routing of MPLS tunnels with time-varying bandwidth profiles

Author(s):  
F. Ricciato ◽  
U. Monaco
Keyword(s):  
1986 ◽  
Vol 108 (3) ◽  
pp. 285-291
Author(s):  
M. S. King ◽  
J. K. Blundell

Industrial robots in use today lack the total ability to perceive and interact with their environment. This limitation is a major obstacle confronting robotic systems developers. This work outlines an on-line process optimization strategy which allows a robot to work within a time-varying environment. After developing the kinematic model of the robot and its relationship to its environment, the process optimization strategy is simulated. The performance of the system is measured by using an index of performance and comparing the simulation results against a series of non-optimized models. The results indicate that on-line process optimization strategy significantly increases the performance of a robotic system operating in a time-varying environment.


Author(s):  
Xiong Zhao ◽  
Lianyu Zheng ◽  
Yuehong Zhang

Abstract Mirror error compensation is usually employed to improve the machining precision of thin-walled parts. However, this zero-order method may result in inadequate error compensation, due to the time-varying cutting condition of thin-walled parts. To cope with this problem, an on-line first-order error compensation method is proposed for thin-walled parts. With this context, firstly, the time-varying cutting condition of thin-walled parts is defined with its in-process geometric and physical characteristics. Based on it, a first-order machining error compensation model is constructed. Then, during the process planning, the theory geometric and physical characteristic of thin-walled parts are respectively obtained with CAM software and structure dynamic modification method. After process performing, the real geometric characteristic of thin-walled parts is measured, and it is used to calculate the dimension error of thin-walled parts. Next, the error compensated value is evaluated based on the compensation model, from which, an error compensation plane is constructed to modify the tool center points for next process step. Finally, the machining error is compensated by performing the next process step. A milling test of thin-walled part is employed to verify the proposed method, and the experiment results shown that the proposed method can significantly improve the error compensation effect for low-stiffness structure, and thickness precision of thin-walled parts is improved by 71.4 % compared with the mirror error compensation method after machining.


2013 ◽  
Vol 303-306 ◽  
pp. 2245-2248 ◽  
Author(s):  
Xue Bo Jin ◽  
Jing Jing Du ◽  
Jia Bao

Fast video tracking can result in irregular sampling tracking problem. This paper transforms the irregular sampling measurement to the time-varying parameters and develops a model with adaptive parameters on line by the autocorrelation function of Markov random processing. Simulations and experiments show the good fast-tracking performance can be get by the model developed here even at very high irregular rate of measurement sampling time.


Author(s):  
Susumu Hara ◽  
Kenji Nakamura ◽  
Tatsuo Narikiyo

This study discusses the positioning and vibration control of time-varying vibration systems whose parameters are time-varying. We assume that the time-varying parameter of a vibration system is detected by an on-line measurement or Wavelet analysis. This paper treats two control methods based on nonstationary optimal regulators (NORs) for this problem. The first method is a gain-scheduling of NORs. An actual controller is obtained by the interpolation of plural NORs designed a priori. The other one is an NOR design based on Wavelet analysis of the vibration system. In the second case, single NOR derived from the analysis result is applied. This study shows the effectiveness of these methods by numerical calculations and experiments. From the comparison of these methods, this paper suggests suitable applications of NOR according to the characteristics of each control problem.


2014 ◽  
Vol 494-495 ◽  
pp. 1206-1211 ◽  
Author(s):  
Tong Yue Gao ◽  
Dong Dong Wang ◽  
Fei Tao ◽  
Hai Lang Ge

Recently, the UAV has become the research focus at home and abroad. this paper puts forward a unconventional type: double ducted tilting Subminiature UAV system (SUAV) , and carries out the research of the control system for this SUAV. Since SUAV flight attitude control process has strong time-varying characteristics, and there are random disturbances, the conventional control methods with unchanged parameters are often unworkable. An on-line adaptive ADRC control system is designed in this paper. An on-line adaptive ADRC system implements a simultaneous on-line tuning of ADRC rules and output scale of ADRC control system. The flight experiment showed that the proposed adaptive ADRC system provides quicker response, smaller overshoot, higher precision, robustness and adaptive ability. It satisfies the needs of autonomous flight.


2013 ◽  
Vol 373-375 ◽  
pp. 856-860
Author(s):  
Xiao Jun Wang ◽  
Yong Jie Zhao ◽  
Jian Xue

An on-line offset current compensation method is proposed to improve ultra-high resistance (UHR) measurement more accurately and reliably. Iterative compensation algorithm is firstly adopted to generate compensation current by adjusting the compensation DAC to decrease the offset current to approximate zero, and then on-line offset current measurement algorithm is employed to ensure the time-varying offset current is always in an appropriate range. This algorithm can maintain a continuous unsaturated measurement process. Experiment results show that the uncertainty (k=2) is 1.4% for 1014Ω and 5.5% for 1015Ω under ±1000V based on the offset current compensation method proposed, which has been successfully implemented in a commercial UHR meter.


1997 ◽  
Vol 4 (1) ◽  
pp. 69-76
Author(s):  
Yanchun Liang ◽  
Qiang Zhen ◽  
Zaishen Wang

An on-line least squares algorithm has previously been successfully applied to linear vibration systems in order to identify time varying parameters. In this article the limitations of the approach and the factors affecting the identification are further examined. The existence of the nonlinear term is determined by means of the time varying characteristics of the estimated linear parameters using the linear model and the data from a time invariant nonlinear system. The identification of the time varying linear parameters is also examined in accordance with the linear model by using the data with nonlinear elements.


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