A Case Library Creating Method Based on Risk Control of Tunnel Engineering

2011 ◽  
Vol 323 ◽  
pp. 151-156
Author(s):  
Zi Qi Tang ◽  
Hui Ming Wu ◽  
Yi Wen Bian
Keyword(s):  
Risk Control ◽  
Engineering Management ◽  
Structural Level ◽  
Control Methods ◽  
Tunnel Engineering ◽  
Case Library ◽  
Control Approach ◽  
Similarity Threshold ◽  
Tree Inference ◽  
Representation Method

Because of low knowledge structural level in real tunnel engineering management, existing risk control methods (e.g., rule reasoning, decision tree inference) cannot completely meet the actual engineering demands. Considering the complexity of risk analysis of the tunnel engineering, this paper presents an aggregated risk control approach for tunnel engineering based on case library, i.e., representing case attribute modules using Frame representation method, reducing attributes using rough set technology, and simplifying case library by removing its redundancy in attribute similarity threshold.

Use of Eye Control to Select Switches

1986 ◽  
Vol 30 (2) ◽  
pp. 154-158 ◽  
Author(s):  
Gloria L. Calhoun ◽  
William P. Janson ◽  
Christopher J. Arbak
Keyword(s):  
Switching Time ◽  
Verbal Response ◽  
Control Methods ◽  
Manual Response ◽  
Control Approach ◽  
Left Hand ◽  
Controlled Switching ◽  
Feasible Alternative ◽  
System Effectiveness ◽  
Candidate Control

Eye-controlled switching has been proposed as a biocybernetic control approach which may increase system effectiveness while reducing pilot workload. In this experiment, six subjects selected discrete switches on the front panel of a cockpit simulator while manually tracking a target. In two eye-controlled methods, the subjects directed their gaze at the switch indicated by an auditory cue and then made a consent input (either a manual response or a verbal response). In a conventional manual condition, subjects selected the switches with their left hand. The analysis of mean switching time suggests that eye control is a feasible alternative when hands-off control is desired. Tracking performance was found to differ significantly among switching conditions, indicating the importance of quantifying the efficiency of candidate control methods in visual workload environments analogous to that of the application environment.

scholarly journals Risk-Control Approach for a Bottleneck Spanning Tree Problem with the Total Network Reliability under Uncertainty

2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
Takashi Hasuike ◽  
Hideki Katagiri ◽  
Hiroshi Tsuda
Keyword(s):  
Spanning Tree ◽  
Network Reliability ◽  
Risk Control ◽  
Mean Value ◽  
Management Approach ◽  
Control Approach ◽  
Deterministic Equivalent ◽  
Proposed Model ◽  
Optimal Criterion ◽  
Risk Control And Management

This paper considers a new risk-control and management approach for a bottleneck spanning tree problem under the situation where edge costs in a given network include randomness and reliability. Particularly, this paper focuses on the case that only mean value and variance of edge costs are calculated without assuming a specific random distribution. In order to develop the risk control approach, a confidence interval-based formulation is introduced. Using this interval, as well as minimizing the maximum value of worse edge costs, maximizing the minimum value of robust parameters to edge costs is introduced as objective functions in the risk-control. Furthermore, in order to maintain the constructing spanning tree network entirely, the reliability for each edge is introduced, and maximizing the total reliability of spanning tree is assumed as the third objective function. The proposed model is a multiobjective programming problem, and hence, it is difficult to solve it directly without setting some optimal criterion. Therefore, satisfaction functions for each object and the integrated function are introduced, and the exact solution algorithm is developed by performing deterministic equivalent transformations. A numerical example is provided by comparing our proposed model with previous standard models.

scholarly journals A management of early warning and risk control based on data fusion for COVID-19

2020 ◽  
Vol 39 (6) ◽  
pp. 8989-8996
Author(s):  
Hongru Yan ◽  
Huaqi Chai ◽  
Yang Dai
Keyword(s):  
Data Fusion ◽  
Association Rules ◽  
Early Warning ◽  
Risk Control ◽  
Reference Value ◽  
Apriori Algorithm ◽  
Control Methods ◽  
Fusion Data ◽  
C4.5 Algorithm ◽  
Warning Model

According to the previous management of early warning and risk control methods, the efficiency of management prediction is low, the effect is not good, and the disadvantages are very obvious. This paper mainly studies the C4.5 algorithm, Apriori algorithm and K-means algorithm. On the basis of association rules, the data from the above three algorithms are fused. On the fusion results of the processed data, it builds and optimizes the early warning model. The fusion data used in this model can be regarded as the basic data and the association rules are used for data mining. The experimental results show that data fusion can solve the problems of management early warning and risk control. This method is applied to enterprises Management has reference value.

scholarly journals Unified Switching between Active Flying and Perching of a Bioinspired Robot Using Impedance Control

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Shanshan Du ◽  
Heping Chen ◽  
Yong Liu ◽  
Runting Hu
Keyword(s):  
Animal Behavior ◽  
Position Control ◽  
Control Method ◽  
Impedance Control ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Control Methods ◽  
Prior Work ◽  
Control Approach ◽  
Three Dimensional Space

Currently, a bottleneck problem for battery-powered microflying robots is time of endurance. Inspired by flying animal behavior in nature, an innovative mechanism with active flying and perching in the three-dimensional space was proposed to greatly increase mission life and more importantly execute tasks perching on an object in the stationary way. In prior work, we have developed some prototypes of flying and perching robots. However, when the robots switch between flying and perching, it is a challenging issue to deal with the contact between the robot and environment under the traditional position control without considering the stationary obstacle and external force. Therefore, we propose a unified impedance control approach for bioinspired flying and perching robots to smoothly contact with the environment. The dynamic model of the bioinspired robot is deduced, and the proposed impedance control method is employed to control the contact force and displacement with the environment. Simulations including the top perching and side perching and the preliminary experiments were conducted to validate the proposed method. Both simulation and experimental results validate the feasibility of the proposed control methods for controlling a bioinspired flying and perching robot.

Study on Manufacturing Enterprise Domestic Factoring Risk Control Methods

2013 ◽  
Vol 739 ◽  
pp. 710-714
Author(s):  
Bei Bei Liu
Keyword(s):  
Risk Control ◽  
Business Development ◽  
Theory And Practice ◽  
Control Methods ◽  
Business Risk ◽  
Manufacturing Enterprise ◽  
Manufacturing Enterprises ◽  
Important Significance

Nowadays, more and more manufacturing enterprises carry out domestic factoring business, though they get a lot of interest, at the same time, face risk from all respects. How to control those risk becomes the manufacturing enterprise the biggest obstacle to carry out. It has important significance in theory and practice to put forward feasible measures to prevent risks to Chinese manufacturing enterprises factoring business development. The author summarizes three methods to prevent domestic factoring business risk, it points out the direction of manufacturing enterprise factoring development.

An Optimal Control Approach to the Path Tracking Problem for an Automobile

1986 ◽  
Vol 10 (4) ◽  
pp. 233-241 ◽  
Author(s):  
H. Hatwal ◽  
E.C. Mikulcik
Keyword(s):  
Optimal Control ◽  
Control Method ◽  
Lane Change ◽  
Control Methods ◽  
Tracking Problem ◽  
Control Approach ◽  
Optimal Control Method ◽  
Linear And Nonlinear ◽  
Optimal Control Methods ◽  
Optimal Control Approach

The problem of determining the steering required for an automobile to follow a specified path is investigated using exact inverse and optimal control methods applied to simple linear and nonlinear vehicle models in lane-change maneuvers. The optimal control method results in solutions which provide for reasonably close tracking of the specified trajectories, but with reduced steering activity in comparison with what would be required for exact tracking, and also with less severe excursions in the slip angles, yaw rates and lateral accelerations. The results appear to be qualitatively consistent with the manner in which a real driver would react and the method could find applicability as a tool to compare the handling properties of different vehicles in a manner analogous to that of test drivers following a specified test course.

Recovering Planned Trajectories in Robotic Rehabilitation Therapies under the Effect of Disturbances

2014 ◽  
Vol 3 (2) ◽  
pp. 34-49 ◽  
Author(s):  
Vijaykumar Rajasekaran ◽  
Joan Aranda ◽  
Alicia Casals
Keyword(s):  
Force Control ◽  
Healthy Subjects ◽  
Position Control ◽  
Control Unit ◽  
Muscle Synergies ◽  
Control Methods ◽  
Robotic Rehabilitation ◽  
Control Approach ◽  
Execution Speed ◽  
Resistive Forces

Robotic rehabilitation is an emerging technology in the field of Neurorehabilitation, which aims to achieve an effective patient recovery. This research focusses on the control strategy for an assistive exoskeleton aiming to reduce the effects of disturbances on planned trajectories during rehabilitation therapies. Disturbances are mostly caused by muscle synergies or by unpredictable actions produced by functional electrical stimulation. The effect of these disturbances can be either assistive or resistive forces depending on the patient's movement, which increase or decrease the speed of the affected joints by forcing the control unit to act consequently. In some therapies, like gait assistance, it is also essential to maintain synchronization between joint movements, to ensure a dynamic stability. A force control approach is used for all the joints individually, while two control methods are defined to act when disturbances are detected: Cartesian position control (Cartesian level) and Variable execution speed (joint level). The trajectory to be followed by the patient is previously recorded using an active exoskeleton, H1, worn by healthy subjects. A realistic simulation model of the exoskeleton is used for testing the effect of disturbances on the particular joints and on the planned trajectory and for evaluating the performance of the two proposed control methods. The performances of the presented methods are evaluated by comparing the resulting trajectories with respect to those planned. The evaluation of the most suitable method is performed considering the following factors: stability, minimum time delay and synchronization of the joints.

scholarly journals Transparent Data Reduction in Networked Telepresence and Teleaction Systems. Part II: Time-Delayed Communication

2007 ◽  
Vol 16 (5) ◽  
pp. 532-542 ◽  
Author(s):  
Sandra Hirche ◽  
Martin Buss
Keyword(s):  
Time Delay ◽  
Data Reduction ◽  
Network Traffic ◽  
Data Transmission ◽  
Threshold Value ◽  
Control Methods ◽  
Control Approach ◽  
Novel Approach ◽  
Traffic Reduction ◽  
Remote Environment

Two of the major challenges in networked haptic telepresence and teleaction systems are the time delay associated with the data transmission over the network and the limited communication resources. Sophisticated control methods are available for the stabilization in the presence of time delay. The reduction of haptic network traffic, however, is only poorly treated in the known literature. Data reduction approaches for time delayed haptic telepresence are not available at all. This article presents a novel approach to reduce the network traffic in haptic telepresence systems with constant (unknown) time delay. With the proposed deadband control approach data are sent only if the signal to transmit changes more than a given threshold value. In order to guarantee stability with time delay and data reduction a well-known time delay approach, the scattering transformation, is extended. Experimental user studies show that an average network traffic reduction up to 96% is achieved without significantly impairing the perception of the remote environment compared to the standard approach with time delay.

scholarly journals Analysis Of The Method Of Predictive Control Applicable To Active Magnetic Suspension Systems Of Aircraft Engines

2015 ◽  
Vol 37 (1) ◽  
pp. 195-205
Author(s):  
Paulina Kurnyta-Mazurek ◽  
Maciej Henzel ◽  
Artur Kurnyta
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Simulation Models ◽  
Magnetic Suspension ◽  
Control Methods ◽  
Aircraft Engines ◽  
Control Approach ◽  
Preliminary Results ◽  
Suspension Systems

AbstractConventional controllers are usually synthesized on the basis of already known parameters associated with the model developed for the object to be controlled. However, sometimes it proves extremely difficult or even infeasible to find out these parameters, in particular when they subject to changes during the exploitation lifetime. If so, much more sophisticated control methods have to be applied, e.g. the method of predictive control. Thus, the paper deals with application of the predictive control approach to follow-up tracking of an active magnetic suspension where the mathematical and simulation models for such a control system are disclosed with preliminary results from simulation investigations of the control system in question.

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