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2011 3rd International Asia Conference on Informatics in control, Automation and Robotics(CAR 2011)

作者： Ling Wang Dong MeiFu School of Automation & Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education)

This paper proposes an efficient training approach for support vector regression,called weighted constraints SVR(WCSVR),which will improve the ability to learn from the noisy samples and overcome the overfitting *** the WCSVR learning process,the object function is modified by introducing a weight for each new training sample and the corresponding regularization *** weighted constraints value to each input sample is confirmed according to its kernel Mahalanobis distance to the center of the *** parameters help us to apply the importance of samples for eliminating the effect of the outliers in the *** overall experiments show prominence of out proposed method in comparison with the standard SVR.

关键词： support vector regression,weighted constraint,kernel Mahalanobis distance

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The construction of performance management system based on balanced scorecard

The construction of performance management system based on b...

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2011 International Conference on Computer Science and Service System, CSSS 2011

作者： Zhang, Dengzhou Peng, Zhanglin Gao, Yuanyuan School of Management Hefei University of Technology Hefei China Finance Department of China Electronics Technology Group Corporation Beijing China Institute of Computer Network System Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei Hefei China

ISBN: (纸本)9781424497638

In China, there are many actual problems in some enterprises' performance management, such as the target dislocation, the unscientific assessment indicator, the assessment results' not linking to rewards and punishments, assessment system solidification and so on. All these problems have affected the effectiveness display of performance management to a great extent. In view of this, this article has constructed performance management system based on the balanced scorecard, taking advantage of balanced scorecard in the strategic management and the performance management. Finally, the article demonstrates the validity and rationality of the research through the case study of Company A. © 2011 IEEE.

关键词： Companies Finance Marketing and sales Military communication Qualifications balanced scorecard performance indicator performance management strategy management

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The design and implementation of Modbus/TCP communication on WinCE platform

The design and implementation of Modbus/TCP communication on...

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Chinese control Conference (CCC)

作者： Shuo Chen Chun-Long Li Shun-Cheng Han Feng Pan Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi 214122 China

Traditional Modbus/TCP server-side protocol includes in many inappropriate blocking I/O operations. These operations frequently lead to receiving thread blockage in the communication. To solve this problem, some improvements such as asynchronous non-blocking and multi-threading technology are done on the TCP network layer of Modbus/TCP, which are completed in S3C2440 server-side by Visual Studio 2005. Furthermore, TCP / IP communications between server terminal and multiple clients are tested. The results show that the ping response time and the data sending or receiving time is less than 1ms and 1s respectively. Finally, a new TCP packet format in the process of TCP network communications is customized to carry out the Modbus/TCP functions on the Windows *** platform, so that a new method is established to provide an efficient and real-time master-slave dialogue.

关键词： IP networks Sockets Protocols Visualization Electronic mail Servers

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Design of a Wireless Sensor Network node based on nRF2401

Design of a Wireless Sensor Network node based on nRF2401

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IEEE International Conference on Computer Science and Automation Engineering (CSAE)

作者： Jian-hong Zhu Jun Wang Di Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi 214122 China

As an important unit composing Wireless Sensor Networks, sensor node normally integrates sensor, data processing unit and communicating module. Power consuming and data transmitting rate are the key factors affecting the quality of it. Regarding the characteristics mentioned, we designed a new wireless sensor network node based on nRF2401. Since the node using low power consumption processor ATmega88 and wireless communication module nRF2401, it guarantees the system operating life and data transmission speed efficiently. Furthermore, the digital thermometer DS18B20 based on 1-wire technology can give the system more concision and more reliability. This node easily applies to Wireless Sensor Networks widely, with its characteristics of low-power, miniaturization and high integration.

关键词： Temperature distribution Wireless sensor networks Power demand Radio frequency Wireless communication Temperature sensors Temperature measurement

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Disturbance Rejection in iron and steel process: Problems and current solutions

Disturbance Rejection in iron and steel process: Problems an...

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作者： Wang, Lijun Tong, Chaonan Li, Qing Yin, Yixin Gao, Zhiqiang School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education University of Science and Technology Beijing Beijing 100083 China Center for Advanced Control Technologies Fenn College of Engineering Cleveland State University Cleveland OH 44115 United States

ISBN: (纸本)9789881725592

It is shown in this paper that the quality of control in iron and steel process, hinges upon how well various disturbances are rejected. Characteristics of the disturbances and the current design solutions are presented, together with pending problems. In the evaluation of design options, Active Disturbance Rejection control stands out as the most viable solution - in its practicality and the ability to handle both internal and external disturbances in one simple manner. © 2011 Chinese Assoc of Automati.

关键词： Disturbance rejection

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Mobile robot's electronic compass calibration based on modified Fourier Neural Network

Mobile robot's electronic compass calibration based on modif...

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IEEE Conference on Robotics, Automation and Mechatronics

作者： Gong Kun Deng Fang Ma Tao Gong Kun is with School of Automation Beijing Institute of Technology and Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing China Deng Fang is with School of Automation Beijing Institute of Technology and Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing China Ma Tao is with School of Automation Beijing Institute of Technology and Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China

In order to improve the precision of the azimuth measured by mobile robot's electronic compass, this paper proposes a new calibration method based on Fourier Neural Network trained by Modified Particle Swarm optimization (MPSO-FNN). This method makes use of Fourier Neural Network (FNN) to establish the error compensation model of electronic compass's azimuth, and introduces Modified Particle Swarm optimization (MPSO) algorithm to optimize the weights of neural network. Thus the comparatively accurate error model of azimuth is obtained to compensate the output of electronic compass. This method not only has strong nonlinear approximation capability, but also overcomes the neural networks' shortcomings which are too slow convergence speed, oscillation, and easy to fall into local optimum and sensitive to the initial values. Experimental results demonstrate that after calibrated by this method, the range of azimuth error reduces to -0.35°~0.70° from -3.4°~25.2°, and the average value of absolute error is only 0.30°.

关键词： Compass Azimuth Biological neural networks Particle swarm optimization Training Accuracy Automation

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Equilibrium Conditions In Service Supply Chain

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Procedia Engineering 2011年 15卷 5100-5104页

作者： Fei Cheng Shanlin Yang Xijun Ma School of Management Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Anhui 230009China

Service supply chain features human players as service vendor, service integrator, customer and service resource. It tends to be digitally connected, such as consulting, e-business and integrated enterprises. Our study uses a formal model and simulations to develop the effect of a service supply chain on equilibrium computation. Two insights arise on how a network can obtain equilibrium computation: forming the network structure of service supply chain; exploring entities behavior and equilibrium conditions. These results highlight the importance for service supply chain of adapting its network structure to equilibrium and application.

关键词： service supply chain service volume equilibrium

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Nonlinear robust PLS modeling of wastewater effluent quality indices

Journal of Software

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Journal of Software 2011年第6期6卷 1067-1074页

作者： Zhao, Lijie Yuan, Decheng Tang, Jian Wang, Wei Chai, Tianyou Shenyang University of chemical technology/Provincial Key laboratory of control technology of chemical industry process Shenyang China Northeastern University/Key Laboratory of Integrated Automation of Process Industry Ministry of Education Shenyang China

To solve the strong nonlinearity and data deterioration due to missing, outliers contained in the training data, this paper combines robust EMPCA (Expectation Maximization Principle Component Analysis) and the error-based input weights updating NNPLS (Neural Network Partial Least Square) to build a nonlinear and robust model as a software sensor of effluent quality indices for the anoxic-aeration activated sludge with nitrogen removal process in wastewater treatment pants. As the first step, data preprocessing based on the modified robust EMPCA is used to eliminate gross error, estimate missing data. Then an error-based input weights updating NNPLS (EB-NNPLS) is further used to predict effluent quality indices. This study compares the performance of partial least squares (PLS) regression analysis, polynomial PLS, NNPLS and EB-NNPLS with robust nonlinearity for the prediction of effluent quality. Simulations results for industrial process data show that the proposed method outperforms basic PLS, the polynomial PLS and NNPLS for the prediction of effluent quality indices. ©2011 ACADEMY PUBLISHER.

关键词： Principal component analysis

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Evolutionary algorithm based on the evolution of Pareto archive and individual migration

Evolutionary algorithm based on the evolution of Pareto arch...

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International Symposium on advanced control of Industrial processes (ADCONIP)

作者： Rongbin Qi Tianyi Ma Fan Sun Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Shanghai Business School Shanghai China

An evolutionary algorithm based on the parallel evolution of multiple single objective populations and Pareto archive population is proposed, which is not only suitable for solving multi-objective optimization, but also effective for multimodal function. For each single objective population, single objective evolutionary algorithm is applied to optimize separately each of multi-objective functions, where individuals generated by tournament selection from the union of single objective and Pareto Archive population form the single objective population of next generation. Especially, individuals in Pareto archive population also join evolutionary operations. Simulations manifest that the proposed method can realize the search from multiple directions to obtain the non-dominated solutions scattered more uniformly over the Pareto frontier with better convergence metric compared to well-known NSGA-II algorithm. Individual migration from Pareto archive population by tournament selection is also proved to have the advantage in improving the converging speed and converging precision. Moreover, for multimodal single objective function, simulations also show that ideal optimizing solution can be obtained by properly separating single objective function into multi-objective function and applying the above method.

关键词： Evolutionary computation optimization Convergence Polynomials Algorithm design and analysis Euclidean distance

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optimization research of genetic neural network based on Scilab

Optimization research of genetic neural network based on Sci...

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2011 IEEE International Workshop on Open-Source Software for Scientific Computation, OSSC-2011

作者： Zhao, Baoyong Qi, Yingjian Tao, Xing School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China Science School Communication University of China Beijing 100024 China Beijing Research Center of Urban System Engineering Beijing 100089 China Key Laboratory of Advanced Control for Iron and Steel Process Ministry of Education China

ISBN: (纸本)9781612844930

Radial basis function (RBF) network is one of the significant neural networks. It has been used successfully in various fields. But in RBF network approximation algorithm, the initial value of the network weights, Gauss function center vector and broad-based vector is not easy to determine, and when these parameter choice is undeserved, RBF network approximation precision will decline and even the serious consequences of network spread will be produced. By using genetic algorithm in this paper, which can better realize RBF network parameter optimization, thereby increasing the accuracy of approximation. Scilab is open source software and has good simulation capabilities. Experiments using Scilab shows that the optimization method of genetic neural network is feasible and results are satisfied. © 2011 IEEE.

关键词： Genetic algorithms

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