scholarly journals Visual Control System of a Spraying Robot forHyphantria cuneaLarva Nets

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Ying Zhao ◽  
Qun Sun ◽  
Chong Wang ◽  
Cuihua Zhang
Keyword(s):  
Control System ◽  
Real Time ◽  
Identification Algorithm ◽  
Two Dimensional ◽  
Simulation Environment ◽  
Hyphantria Cunea ◽  
Robot System ◽  
Border Area ◽  
Before And After ◽  
Hand Eye Coordination

In order to implement automatic spraying onHyphantria cunealarva nets, a spraying robot system with monocular hand-eye coordination and smart targeting abilities was designed according to the target net features. The system realized spatial two-dimensional motions driven by step motors on linear guide rails. Images were processed in real-time to extract the net curtain targets defined using the border area, and the optimal spraying position was then determined. An identification algorithm based on the global net image to distinguish targets before and after spray was proposed. A simulation environment was designed to verify the correctness of this method. Results showed that the highest rate of over spray is 288.5%, and the spray miss rate is 0.

A Rat-Robot Control System Based on Optogenetics

2013 ◽  
Vol 461 ◽  
pp. 848-852 ◽  
Author(s):  
Song Chao Guo ◽  
Hong Zhou ◽  
Yue Ming Wang ◽  
Xiao Xiang Zheng ◽  
Ke Di Xu
Keyword(s):  
Control System ◽  
Electrical Activity ◽  
Real Time ◽  
Navigation System ◽  
Robot Control ◽  
Robot Navigation ◽  
Freezing Behavior ◽  
Robot System ◽  
Optical Stimulation ◽  
Different Types

We developed a rat-robot system based on optogenetic techniques for the precise freezing behavior. Rat-robots were built up by optogenetic modulation at the dlPAG of rat brains. We conducted track navigation for the rat-robots and found they were able to exhibit precise freezing at given positions with high spatiotemporal accuracy. Different types of optical stimulation were compared and their influence on the rat-robots was investigated. Furthermore we recorded the neural electrical activity in real time during the optical stimulation. The system could be used to explore the mechanism of freezing behaviors and to build up a more integrated rat-robot navigation system based on optical modulations.

Coin Identification Based on Fusion Multiple Algorithms

2012 ◽  
Vol 472-475 ◽  
pp. 1754-1758
Author(s):  
Gang Liu ◽  
Jin Tian Yun ◽  
Zi Wei Chen
Keyword(s):  
Environmental Factors ◽  
Real Time ◽  
Experimental Analysis ◽  
Financial Sector ◽  
Identification Algorithm ◽  
Simulation Environment ◽  
Multiple Algorithms

With the extensive use of coins in the financial sector, it is necessary to develop an effective real-time method of identification. This paper presents a coin identification algorithm based on multiple algorithms fusioned and verifies the effectiveness of the algorithm in the simulation environment of Matlab. Through experimental analysis, the accuracy of the algorithm is high, and is not easily effected by external environmental factors.

scholarly journals Performance Assessment of Non-Gaussian Control Systems Based on Mixture Correntropy

Entropy ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. 1069
Author(s):  
Jinfang Zhang ◽  
Di Wu
Keyword(s):  
Control System ◽  
Performance Assessment ◽  
Control Systems ◽  
Real Time ◽  
Translation Invariance ◽  
Identification Algorithm ◽  
Minimum Entropy ◽  
Area Index ◽  
The Real ◽  
Non Gaussian

The performance assessment of any control system plays a key role in industrial control systems. To meet the real-time requirements of modern control systems, a quick and accurate evaluation of the performance of a system is necessary. In this paper, a performance assessment method of a non-Gaussian control system based on mixture correntropy is proposed for non-Gaussian stochastic systems. Mixture correntropy can solve the problem of minimum entropy translation invariance. When the expected output of a system is unavailable, mixture correntropy combined with the estimation of distribution algorithm (EDA) is used for system identification and noise distribution estimation so as to calculate the benchmark of entropy-based performance assessment. When the expected output of a system is available, the mixture correntropy is directly used as the index to evaluate the performance of the system. To improve the real-time aspect of the performance assessment, an improved EDA is presented to obtain the evaluation index more quickly. For both Gaussian and non-Gaussian systems, the mixture correntropy and the improved identification algorithm are used for system performance assessment, and the results are compared with the minimum entropy index and the probability density function (PDF) curve coincident area index. The comparisons verify the rationality and effectiveness of the correntropy index and the rapidity of the improved EDA algorithm.

Remote Simulation to Evaluate Real-Time Traffic Control Strategies

2000 ◽  
Vol 1727 (1) ◽  
pp. 95-100 ◽  
Author(s):  
David E. Lucas ◽  
Pitu B. Mirchandani ◽  
K. Larry Head
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Control Systems ◽  
Real Time ◽  
Traffic Control ◽  
Control Strategies ◽  
Remote Access ◽  
Hardware In The Loop ◽  
Simulation Environment ◽  
Real Time Traffic

Simulation is a valuable tool for evaluating the effects of various changes in a transportation system. This is especially true in the case of real-time traffic-adaptive control systems, which must undergo extensive testing in a laboratory setting before being implemented in a field environment. Various types of simulation environments are available, from software-only to hardware-in-the-loop simulations, each of which has a role to play in the implementation of a traffic control system. The RHODES (real-time hierarchical optimized distributed effective system) real-time traffic-adaptive control system was followed as it progressed from a laboratory project toward actual field implementation. The traditional software-only simulation environment and extensions to a hardware-in-the-loop simulation are presented in describing the migration of RHODES onto the traffic controller hardware itself. In addition, a new enhancement to the standard software-only simulation that allows remote access is described. The enhancement removes the requirement that both the simulation and the traffic control scheme reside locally. This architecture is capable of supporting any traffic simulation package that satisfies specific input-output data requirements. This remote simulation environment was tested with several different types of networks and was found to perform in the same manner as its local counterpart. Remote simulation has all of the advantages of its local counterpart, such as control and flexibility, with the added benefit of distribution. This remote environment could be used in many different ways and by different groups or individuals, including state or local transportation agencies interested in performing their own evaluations of alternative traffic control systems.

Robot Control System ARS/A for Research

1990 ◽  
Vol 2 (5) ◽  
pp. 404-410 ◽  
Author(s):  
Kosei Kitagaki ◽  
◽  
Marasu Uchiyama ◽  
Keyword(s):  
Control System ◽  
Real Time ◽  
Robot Control ◽  
Industrial Robot ◽  
Host Computer ◽  
Open Architecture ◽  
Level Control ◽  
Robot System ◽  
C Language ◽  
Robot Control System

This paper presents an open architecture robot control system for lower level manipulator control such as motion control or force control. Basically, the system consists of three elements: an industrial robot manipulator called A-HAND, a servo computer with the motor driver units, and a host computer. The system is called ARS/A (Aoba Robot System for A-HAND). The robot and the servo computer are regarded as an independent robotic module with a standard interface to the host computer, from which it accepts a set of real time commands to control the robot. Any computer having an interface may be connected to the robotic module as a host computer. To design the set of real time commands is a crucial issue because it determines the capability and flexibility of the robot system. This paper proposes a set of real time commands which are needed for lower level control experiments. The set was found through trials. A real time monitor called MOS/A (Motor Operating System for A-HAND) to process the commands to control the robot are implemented on the servo computer. The MOS commands are defined as functions of a C language on the host computer. The C language is called ARC/A (Aoba Robot C Language for A-HAND) to have other robot control utility functions such as graphic simulation functions as well as the MOS functions. Sample programs show that ARC/A is an efficient programming tool for lower level control.

TWO-DIMENSIONAL STATIC AND DYNAMIC DISPLAY SYSTEM OF BOWEL SOUND MAGNITUDE MAP FOR EVALUATION OF INTESTINAL MOTILITY

2009 ◽  
Vol 21 (05) ◽  
pp. 333-342 ◽  
Author(s):  
Chia-Hung Chien ◽  
Hsiang-Ting Huang ◽  
Cheng-Yi Wang ◽  
Fok-Ching Chong
Keyword(s):  
Real Time ◽  
Intestinal Motility ◽  
Low Cost ◽  
Activity Level ◽  
Bowel Sound ◽  
Two Dimensional ◽  
Dynamic Display ◽  
Before And After ◽  
Abdominal Surface ◽  
A New Technique

The aim of this work is to develop a new technique of two-dimensional (2D) bowel sound magnitude map (BSMM) with multichannel electronic stethoscopes to evaluate the location, intensity, and track of intestinal motility from the abdominal surface in real time. The static BSMM, obtained from the interpolation of captured one-dimensional (1D) signals, demonstrated an activity level of intestinal motility with different colors. It enabled spatial visualization of the sound origin to locate the peristaltic position of bowels. The dynamic BSMM, displayed in either time series or continuous mode, clearly showed the tracking pattern of intestinal motility on the whole abdomen. Our results verified the validation of this system with a computer simulation and the specific detection of bowel sounds (BSs). The detection of physiologic intestinal motility, including that before and after meal or before defecation, is also available with BSMMs. A simple, noninvasive, low-cost, visualizable, and real-time device has been successfully developed in this work.

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