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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Kong, Qing-Jie Tu, Shitao Liu, Yuncai Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Shanghai 200240 China

ISBN: (纸本)9781467324007

In the research field of Intelligent Transportation systems (ITS), traffic flow prediction is a key technology for traffic guidance and advanced control strategy. Accuracy and immediacy are the main requirements for prediction methods. This paper presents a short-term prediction algorithm of traffic flow rate based on the macroscopic urban road network model. Classified into different typical elements, a traffic road network can be expressed as a matrix. Taking crosses and their links as basic research objects, the proposed prediction method can only use a few real traffic parameters obtained from loop detectors to realize accurate short-term prediction of traffic flow rate. This method can also be adaptable to different kinds of road network. In case study, the real traffic system is simulated with the microscopic traffic simulation platform (CORSIM). In the given simulation environment of road network, the experiment results illustrate that the proposed prediction algorithm can accurately predict flow rate in short term. © 2012 IEEE.

关键词： Forecasting

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Sliding Mode Predictive control of Main Steam Pressure in Coal-fired Power Plant Boiler

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Chinese Journal of Chemical Engineering 2012年第6期20卷 1107-1112页

作者：史元浩王景成章云锋 Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education

Since the combustion system of coal-fired boiler in thermal power plant is characterized as time varying, strongly coupled, and nonlinear, it is hard to achieve a satisfactory performance by the conventional proportional integral derivative (PID) control scheme. For the characteristics of the main steam pressure in coal-fired power plant boiler, the sliding mode control system with Smith predictive structure is proposed to look for performance and robustness improvement. First, internal model control (IMC) and Smith predictor (SP) is used to deal with the time delay, and sliding mode controller (SMCr) is designed to overcome the model mismatch. Simulation results show the effectiveness of the proposed controller compared with conventional ones.

关键词： coal fired power plant boiler combustion system main steam pressure sliding mode control Smith predictor internal model control

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Sampling-based Learning control for Quantum systems with Hamiltonian Uncertainties

Sampling-based Learning Control for Quantum Systems with Ham...

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IEEE Annual Conference on Decision and control

作者： Daoyi Dong Chunlin Chen Ruixing Long Bo Qi Ian R. Petersen School of Information Technology and Electrical Engineering University of New South Wales at the Australian Defence Force Academy Canberra ACT 2600 Australia Department of Control and System Engineering Nanjing University Nanjing 210093 China Department of Chemistry Princeton University Princeton New Jersey 08544 USA Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781467357159

Robust control design for quantum systems has been recognized as a key task in the development of practical quantum technology. In this paper, we present a systematic numerical methodology of sampling-based learning control (SLC) for control design of quantum systems with Hamiltonian uncertainties. The SLC method includes two steps of "training" and "testing and evaluation". In the training step, an augmented system is constructed by sampling uncertainties according to possible distributions of uncertainty parameters. A gradient flow based learning and optimization algorithm is adopted to find the control for the augmented system. In the process of testing and evaluation, a number of samples obtained through sampling the uncertainties are tested to evaluate the control performance. Numerical results demonstrate the success of the SLC approach. The SLC method has potential applications for robust control design of quantum systems.

关键词： design control learning control quanta AUGMENTED system Uncertainty Gradient flow Hamiltonian control performance Robust control Optimization algorithms

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Background extraction algorithm based on K-means clustering algorithm and histogram analysis

Background extraction algorithm based on K-means clustering ...

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2012 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2012

作者： Zhang, Yan Luo, Linkai Department of Automation Xiamen University Xiamen China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China

ISBN: (纸本)9781467300865

Background extraction is a fundamental task in many computer vision applications. This paper presents a novel method based on K-means Clustering Algorithm. First, the intensity values are divided into several groups by clustering method automatically. Then the mean of intensities in the most frequent group is assigned as the background intensity. The experiment results show that the proposed approach achieves more accurate background than traditional method. © 2012 IEEE.

关键词： Graphic methods

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A flexible novel approach to learn epistasis based on ant colony optimization

A flexible novel approach to learn epistasis based on ant co...

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31st Chinese control Conference, CCC 2012

作者： Li, Shu-Sen Jun, Chen Jiao, Qing-Ju Yao, Li-Xiu Shen, Hong-Bin Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Ministry of Education of China Shanghai 200240 China

ISBN: (纸本)9789881563811

Epistasis learning is becoming more and more important in genome-wide association (GWA) studies as single loci association test could only explain a small proportion of heredity of common human diseases. Many epistasis or gene-gene interaction learning methods have come out to try to solve the problem which is on the way of learning epistasis, which is computable difficult to search for high order epistatic interactions underlie common human disease and they have shown quite an ability to work on such a problem. But as single nucleotide polymorphism's (SNP) dimensionality is growing larger and larger in current generated genome-wide association datasets, of which the number of samples that could be used to do GWA analysis is smaller relatively. How to solve the problem of epistasis learning caused by this dimensionality disaster is still a critical challenge for our genetic scientists. In this article, we propose a novel approach which could find a gene-gene interaction model consists of a flexible number of susceptible loci based on ant colony optimization (ACO) strategy and we conduct a lot of experiments on a wide range of simulated datasets and compare the outcome of our ACO method with some other epistasis learning methods like Bayesian combinational method (BayCom) and Multi beam search method (MBS), found that our ACO method is quite available and time efficient to solve the haystack problem to learn epistatic interactions and it may become a potential solution to search for complex association rules between susceptible SNP subset and common human disease in the future. © 2012 Chinese Assoc of Automati.

关键词： Ant colony optimization

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Multiple Anti-windup Loops under Multiple Static Activations:Enlargement of the Domain of Attraction

Multiple Anti-windup Loops under Multiple Static Activations...

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第三十二届中国控制会议

作者： Xiongjun Wu Ziyang Meng The 802 Institute of Shanghai Academy of Space Flight Technology The Eighth Academy of China Aerospace Science and Technology Corporation Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China ACCESS Linnaeus Centre School of Electrical EngineeringRoyal Institute of TechnologyStockholm 10044Sweden

ISBN: (纸本)9781479900305

Anti-windup design is an intuitive and efficient way to deal with input saturation *** the classic antiwindup design,the compensator is set to be activated immediately as the control signal saturates the *** important innovation in the anti-windup activation mechanism is to delay the activation of the anti-windup mechanism until the saturation reaches to a certain severity which led to a performance improvement of the resulting closed-loop *** recently,it was shown that by activating a static anti-windup mechanism in anticipation of actuator saturation,significant further performance improvements can be achieved in comparison with the delayed activation *** addition,we have combined both the delayed and anticipatory activation mechanisms,to develop the multiple activation strategy,in terms of(?) gain *** paper furthermore considers the problem of enlarging domain of attraction and demonstrates that the multiple activation of a static multiple feedback anti-windup mechanism would also lead to significant performance improvements over both the immediate and delayed activation schemes.

关键词： Actuator saturation anti-windup anticipatory activation domain of attraction multiple activation

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A Real-time Modeling of Photovoltaic Array

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Chinese Journal of Chemical Engineering 2012年第6期20卷 1154-1160页

作者：王魏李柠李少远 Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China

This paper mainly aims at the modeling problem of the photovoltaic (PV) array with a 30 kW PV grid-connected generation system. An iterative method for the time-varying parameters is proposed to model a plant of PV array. The relationship of PV cell and PV array is obtained and the solution for PV array model is unique. The PV grid-connected generation system is used to demonstrate the effectiveness of the proposed method by comparing the calculated values with the actual output of the system.

关键词： photovoltaic array modeling incident angle of the sun radiation intensity

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Comparative research on total transfer capability calculation using load model

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Telkomnika - Indonesian Journal of Electrical Engineering 2013年第4期11卷 1776-1780页

作者： Shi, Guoping Liang, Jun Gu, Peng School of Electrical Engineering Shandong University Shandong 250061 China School of information and electrical engineering Shandong Jianzhu University Shandong 250061 China Key laboratory of power system intelligent dispatch and control of ministry of education Shandong University Shandong 250061 China Shandong Electric Power Construction No.1 Company Jinan Shandong 250061 China

This paper proposes a method calculating total transfer capability(TTC) and critical voltage using static power model based on real-time recording data, traditional power system dispatching calculation doesn't consider load model, which does not agree with the real, this paper compares TTC and critical voltage under different load model and P-V curves, on which load model has a strong influence, so load modeling is necessary based on real-time data and is significant for improving system stability. The simulations show necessity and suitability of the method ©2013 Universitas Ahmad Dahlan.

关键词： system stability

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Quantized innovations Kalman filter: stability and modification with scaling quantization

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Journal of Zhejiang University-Science C(Computers and Electronics) 2012年第2期13卷 118-130页

作者： Jian XU Jian-xun LI Sheng XU Science and Technology on Avionics Integration Laboratory Shanghai Jiao Tong UniversityShanghai 200240 MOE Key Laboratory of System Control and Information Processing Shanghai Jiao Tong UniversityShanghai 200240China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

The stability of quantized innovations Kalman filtering (QIKF) is analyzed. In the analysis, the correlation between quantization errors and measurement noises is considered. By taking the quantization errors as a random perturbation in the observation system, the QIKF for the original system is equivalent to a Kalman-like filtering for the equivalent state-observation system. Thus, the estimate error covariance matrix of QIKF can be more exactly analyzed. The boundedness of the estimate error covariance matrix of QIKF is obtained under some weak conditions. The design of the number of quantized levels is discussed to guarantee the stability of QIKF. To overcome the instability and divergence of QIKF when the number of quantization levels is small, we propose a Kalman filter using scaling quantized innovations. Numerical simulations show the validity of the theorems and algorithms.

关键词： Kalman filtering Quantized innovation Stability Scaling quantization Wireless sensor network

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A high-resolution weak signal detection method based on stochastic resonance and superhet technology

A high-resolution weak signal detection method based on stoc...

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2012 7th International ICST Conference on Communications and Networking in China, CHINACOM 2012

作者： Shi, Shuo Yin, Wanyi Yang, Mingchuan He, Mingjie National Key Laboratory of Communication System and Information Control Technology China Harbin Institute of Technology China University of Science and Technology of China China

ISBN: (纸本)9781467326995

A detection method based on the strong low-frequency weak-signal detection ability of stochastic resonance is proposed, aimed at the detection of the unknown weak signal. By mixing the unknown signal with a continuous linear changing local oscillator signal, a difference frequency signal will be generated, which will be sent to the stochastic resonance system. Thus, an obviously changed output can be obtained. Because the stochastic resonance system is extremely sensitive to low frequency, the system will have a maximum output when the local oscillator and frequency of the unknown signal are closest. The frequency of the unknown signal will be measured precisely from the local oscillator frequency and the difference frequency. It can be inferred from the theoretical analysis and numerical simulation that this method has a large detection range, high resolution, and good prospect. © 2012 IEEE.

关键词： Stochastic systems

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