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Condition prediction of flue gas turbine based on Echo State Network

Condition prediction of flue gas turbine based on Echo State...

引用

2010 6th International Conference on Natural Computation, ICNC'10

作者： Xu, Xiao-Li Chen, Tao Wang, Shao-Hong School of Mechanical and Vehicular Engineering Beijing Institute of Technology Beijing China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781424459612

Echo State Network is one pioneering recurrent neural network with the core structure of a randomly generated and unchangeable reservoir. This paper provides a Condition prediction model of flue gas turbine by applying Echo State Network and makes prediction of the overall vibration value. Compared to Elman neural network prediction model, examples show that Echo State Network has wonderful dynamic characteristics with smaller error and less prediction time. The model has a good performance in non-linear time series prediction, indicating that the model is feasible in the condition prediction of flue gas turbine. © 2010 IEEE.

关键词： Flue gases

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The research of method of short-term traffic flow forecast based on GA-BP neural network and chaos theory

The research of method of short-term traffic flow forecast b...

引用

International Conference on Information Science and engineering (ICISE)

作者： Zhu, Chunmei Xu, Xiaoli Yan, Changpeng School of Mechanical and Electrical Engineering Beijing Information Science and Technology University Beijing China Key Laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Ministry of Education China

ISBN: (纸本)9781424480968

In order to improve the efficiency and precision of short-term traffic flow forecast, for the traditional BP neural network that has such shortcomings as slow convergent speed and easy convergence to the local minimum points, this paper adopts genetic algorithm to optimize BP network structure and sets up a forecast method combining chaos theory with neural network, and the methods of traffic flow forecast based on chaos theory and neural network theory are researched. According to the results of forecasting research of actual traffic flow data by adopting chaos BP neural network forecast method and chaos GA-BP neural network forecast method, it is effective to apply chaos neural network forecast algorithm to short-term traffic flow forecast and improved chaos GA-BP neural network forecast algorithm can improve the precision and timeliness of short-term traffic flow forecast. © 2010 IEEE.

关键词： Chaos theory

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H∞ controller design for discrete fuzzy system using nonquadratic Lyapunov functions

H∞ controller design for discrete fuzzy system using nonqua...

引用

作者： Pan, Juntao Fei, Shumin Wang, Renming Xue, Mingxiang Key Laboratory of Measurement and Control CSE of Ministry of Education Southeast University Nanjing 210096 China College of Electrical Engineering and Information Technology Three Gorges University Yichang 443002 China

ISBN: (纸本)9787894631046

This paper proposed a new approach to the stabilization analysis and H ∞ performance for a class of discrete nonlinear systems that are represented by a Takagi-Sugeno (T-S) fuzzy model. The main result given here concerns their H∞ controller design based on a relaxed approach in which both PDC-like control laws and nonquadratic Lyapunov functions are used. New relaxed conditions and linear matrix inequality-based design methods are proposed that allow outperforming previous results found in the literature. Finally, an example is given to demonstrate the efficiency of the proposed approaches.

关键词： Linear matrix inequalities

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Synchronization control in arrays of coupled Lur'e type networks with nonlinear delayed coupling

Synchronization control in arrays of coupled Lur'e type netw...

引用

作者： Li, Tao Song, Aiguo Fei, Shumin School of Instrument Science and Engineering Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing 210096 China

ISBN: (纸本)9787894631046

This paper deals with global synchronization in arrays of coupled Lur'e systems with nonlinear delayed coupling. Together with Krasovskii-Lyapunov functional and Kronecker product technique, two novel synchronization criteria are presented in terms of linear matrix inequalities(LMIs) based on convex combination, in which the conditions are heavily dependent on the bounds of time delay and its derivative. Through employing LMI in Matlab Toolbox and adjusting some matrix parameters in the derived results, we can realize the designing and applications of the coupled systems. The effectiveness of the proposed methods can be demonstrated by one numerical example with simulations.

关键词： Linear matrix inequalities

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Improved Fourier transform profilometry based on color pattern projection

Improved Fourier transform profilometry based on color patte...

引用

Chinese Conference on Pattern Recognition

作者： Huang, Hao Da, Feipeng Key Laboratory of Measurement and Control for Complex System of Ministry of Education Institute of Automation Southeast University Nanjing 210096 China

ISBN: (纸本)9781424472109

In this paper a novel 3D shape measurement technique based on color fringe projection is proposed to solve the spectrum aliasing and phase unwrapping issues existed in Fourier transform profilometry. Set the RG components of the color fringe to two different frequencies of sinusoidal pattern and the B component to the average value of R or G component. Then project the pattern to the object. Separate these RGB components of the captured color pattern and use our method to process these three gray patterns. By using the proposed method, the background and high frequency noises can be eliminated during FTP process, also the accurate unwrapped phase which contains the height information can be got by using two frequencies of wrapped phase to unwrap the phase. Only one frame color pattern is needed to get the 3D information of an object. Experiment results show that the 3D information of an object can be obtained rapidly and accurately using the proposed method. And also the object can be measured dynamically. ©2010 IEEE.

关键词： Fourier transforms

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Improved Fourier Transform Profilometry Based on Color Pattern Projection

Improved Fourier Transform Profilometry Based on Color Patte...

引用

Chinese Conference on Pattern Recognition (CCPR)

作者： Hao Huang Feipeng Da Key Laboratory of Measurement and Control of Complex System of Ministry of Education Institute of Automation South-East University Nanjing China

关键词： Fourier transforms Color Shape measurement Charge coupled devices Three dimensional displays measurement by laser beam

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A New Accurate Method of Compensating Phase-Shifting Error

A New Accurate Method of Compensating Phase-Shifting Error

引用

Chinese Conference on Pattern Recognition (CCPR)

作者： Lin Zhu Feipeng Da Shaoyan Gai Key Laboratory of Measurement and Control of Complex System of Ministry of Education College of Automation South-East University Nanjing China

A new accurate phase-shifting error compensating algorithm for phase-measuring profilometry is proposed and proved. In this error detecting algorithm, we use three adjacent phase points for research object, approximately suppose that the sinusoidal fringe projection to the plate, the phase differences between adjacent pixels are equal. Then we put the phase shift error into the original algorithm for error compensation. Simulation results show the inhibitory effect of the errors after using the new algorithm for error compensation. Lastly we use the new algorithm for three-dimensional reconstruction of physical measurement. The final effect image shows obviously that the new compensation algorithm is better than the original. So this error extracting algorithm can effectively improve the accuracy of three-dimensional measurement.

关键词： Optimized production technology Phase shifting interferometry Algorithm design and analysis Optical interferometry measurement uncertainty Phase measurement Approximation algorithms

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A new accurate method of compensating phase-shifting error

A new accurate method of compensating phase-shifting error

引用

Chinese Conference on Pattern Recognition

作者： Zhu, Lin Da, Feipeng Gai, Shaoyan Key Laboratory of Measurement and Control for Complex System of Ministry of Education Colledge of Automation Southeast University Nanjing 210096 China

ISBN: (纸本)9781424472109

关键词： Error compensation

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Impulsive controller Design for Networked Impulsive control Systems with Transmission Delay and Packet Dropouts

Impulsive Controller Design for Networked Impulsive Control ...

引用

The 22nd China control and Decision Conference(2010年中国控制与决策会议)

作者： Xianlin Zhao Shumin Fei Nanjing Agricultural University Nanjing 210031 China Key Laboratory of Measurement and Control ofC Key Laboratory of Measurement and Control ofComplex Systems of Engineering Ministry of Education So

This paper considers the problem of controller design fornetworked impulsive control systems(NICSs) with transmission delayand packet dropouts. The parameter uncertainty is assumed to be norm bounded. The problem to be addressed is the design of impulsive controllers such that the exponential stability of the resulting closed-loop system and asymptotical stability for admissible uncertainties are guaranteed. By applying Lyapunov function theory and Halanay Lemma, impulsive time-delay controller is derived through solving LMIs. Numerical examples are provided to demonstrate the application of the proposed method.

关键词： NICS Exponential Stability Robust control Packet Dropout Paper

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Stereo Reconstruction Based on Local Edge Detection and Binocular Stereo Matching

Stereo Reconstruction Based on Local Edge Detection and Bino...

引用

Chinese Conference on Pattern Recognition (CCPR)

作者： Fu He Feipeng Da Key Laboratory of Measurement and Control of Complex System of Ministry of Education Research Institute of Automation South-East University Nanjing China

A stereo reconstruction algorithm is proposed, which combines techniques of local edge detection, stereo matching and binocular vision. Firstly, the left and right images of the object are taken by calibrated binocular cameras. Then, in rectified matching images, the closed local edge is formed surrounding each pixel by Prewitt edge operator in order to construct an adaptive window, in which cost aggregation is calculated by normalized cross-correlation-coefficient. Next, local winner-take-all optimization is used to obtain disparity, and image smoothing technique is introduced to reduce matching errors. Finally, points cloud of the object is produced based on calibration information of binocular cameras and results of stereo matching. The experimental results show that the proposed algorithm can overcome impacts of real environment on reconstruction system and successfully achieves smooth and vivid 3D points cloud models of different real objects with high automation degree.

关键词： Stereo image processing Computer vision Image edge detection Image reconstruction Pattern recognition Conferences

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