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2nd International Conference on Precision Mechanical Instruments and measurement Technology, ICPMIMT 2014

作者： Jiang, Tian-Hua Yan, Hong-Sen School of Automation MOE Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing 210096 China

ISBN: (纸本)9783038351948

In this study, the self-evolution problem of knowledgeable manufacturing systems is studied by taking an assembly workshop as an example. The rolling horizon procedure (RHP) is adopted to implement the self-evolution process of the workshop. The whole dynamic self-evolution process is decomposed into several static decision processes. At each decision point, a static decision sub-problem needs to be solved. A general mathematical model of these sub-problems is built, and a bi-level genetic algorithm (BiGA) is designed. Simulation results show that the model and algorithm are feasible and effective. By comparison, the system with self-evolution operations has a better production performance. © (2014) Trans Tech Publications, Switzerland.

关键词： Genetic algorithms

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Research on panoramie vision system of mobile robot

Research on panoramie vision system of mobile robot

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Chinese control and Decision Conference, CCDC

作者： Qiaobing Yao Hualong Yu Wankou Yang Changyin Sun Key Lab of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing China School of Autmation Southeast University Nanjing Jiangsu CN Key Laboratory of Child Development and Learning Science of Ministry of Education Southeast University Nanjing China

This paper presents an imaging method for 360-degree panoramic view based on four wide angle cameras. In order to complete the image mosaic, all the parameters such as focal length, principal point and distortion coefficients, etc are calibrated by our proposed calibration toolbox. Then, our approach does not adopt the scheme which stitching all the images to the surrounding view after distortion correction. The proposed method directly calculates the mapping relationship between the wide-angle lens images and cylindrical projection images to generate lookup tables which can greatly simplifies the computation and reduces the loss of information in each image. Finally, panoramic image is composed by image registration and image fusion. Experimental results show that this method is valid.

关键词： Machine vision Mobile robots

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Mars Entry Trajectory Tracking Via Constrained Multi-Model Predictive control 33

Mars Entry Trajectory Tracking Via Constrained Multi-Model P...

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第三十三届中国控制会议

作者： WU Chao LI Shihua YANG Jun GUO Lei School of Automation Southeast University & Key Laboratory of Measurement and Control of Complex Systems of EngineeringMinistry of Education School of Automation Science and Electrical Engineering Beihang University & Institute of Instrument Science and Opto-Electronics Engineering

ISBN: (纸本)9781479947249

Tracking law designed for future Mars entry missions is investigated in this article. For precision landing, the nonlinear entry dynamics, complex uncertainties and input saturation constraints are unavoidable problems. Facing these challenges, the Mars entry trajectory tracking scheme via constrained multi-model predictive control(CMPC) is employed. The CMPC is made up of some constrained predictive control(CPC) in different time domain during the Mars entry mission. Each constrained predictive controller consists of a linearized prediction model(obtained by linearizing at different operating point), feedback correction for active model mismatch rejection caused by the complex uncertainties, and constrained rolling optimization for a smooth control input under a saturation constraint. Monte Carlo simulations demonstrate the effectiveness and excellence of the proposed method under the saturation constraint of input and uncertainties of initial state and aerodynamic parameters such as atmospheric density, ballistic coefficient and lift-to-drag ratio.

关键词： Mars Entry,Trajectory Tracking,Constrained Multi-Model Predictive control,Monte Carlo Simulation

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Global decentralized stabilization for a class of large-scale feedforward nonlinear systems

Global decentralized stabilization for a class of large-scal...

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American control Conference

作者： Qixun Lan Chuanlin Zhang Shihua Li Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing 210096 P. R. China College of Automation Engineering Shanghai University of Electric Power Shanghai 200090 P.R. China School of Automation Southeast University Nanjing 210096 P. R. China

ISBN: (纸本)9781479917730

This paper considers the problem of global decentralized stabilization for a class of large-scale feedforward nonlinear systems. First, by using generalized homogeneous systems theory, a local linear decentralized control law is recursively constructed. Second, a series of nested saturation functions are integrated with the proposed local linear control law to render the whole closed-loop large-scale system global asymptotical stability. Due to the flexibility of the generalized homogeneous systems theory, the proposed approach not only weakens the existing restrictions imposed on the interconnected nonlinearities, but also can be applied to more general classes of large-scale feedforward nonlinear systems. Numerical example shows that the effectiveness of the proposed control scheme.

关键词： Decentralized control Feedforward neural networks Nonlinear systems Closed loop systems Lyapunov methods Asymptotic stability Feedforward systems

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An Adaptive Method based on QRCP Decomposition for Single Sample Problem 33

An Adaptive Method based on QRCP Decomposition for Single Sa...

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第三十三届中国控制会议

作者： HU Changhui LU Xiaobo DU Yijun School of Automation Southeast University Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of EducationSoutheast University

ISBN: (纸本)9781479947249

In this paper,an adaptive approximation image reconstruction method based on orthogonal triangular with column pivoting(QRCP) decomposition algorithm is proposed for single sample problem in face *** using QRCP the single sample and its transpose are decomposed to two sets of basis *** an adaptive approximation image reconstruction method is proposed to reconstruct two approximation images from the two basis image sets *** single training sample and its two approximation images of each object form a new training set,which can make the fisher linear discriminant analysis(FLDA) be applied to single sample problem in face *** performance of the proposed method is verified on Yale,FERET,and ORL face *** experimental results indicate that the proposed method is efficient and outperforms some existing methods which are proposed to overcome the single sample problem.

关键词： Face recognition,single sample problem,orthogonal triangular decomposition with column pivoting,adaptive approximation image reconstruction method

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Face Recognition Based on Low-Rank Matrix Representation 33

Face Recognition Based on Low-Rank Matrix Representation

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第三十三届中国控制会议

作者： NGUYEN Hoang Vu HUANG Rong YANG Wankou SUN Changyin School of Automation Southeast University Faculty of Industrial Technology Tien Giang UniversityMy Tho 860000Viet Nam Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (纸本)9781479947249

Based on the recent success of Low-Rank matrix Representation(LRR),we propose a novel classification method for robust face recognition,named LRR-based Classification(LRRC).By the ideal that if each data class is linearly spanned by a subspace of unknown dimensions and the data are noiseless,the lowest-rank representations of a set of test vector samples with respect to a set of training vector samples have the nature of being both dense for within-class affinity and almost zero for between-class ***,the LRR exactly reveals the classification of the *** experimental results demonstrate that LRRC has competitive with state-of-the-art classification methods.

关键词： Low rank representation,Face recognition,Feature extraction,Classification,Sparse representation

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Decentralized control for power systems components based-on nonlinear differential-algebraic equations subsystem model

Communications in Computer and Information Science

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Communications in Computer and Information Science 2014年 462卷 397-406页

作者： Zang, Qiang Zhou, Ying Mei, Ping Zheng, Baichao Zhang, Kaifeng School of Information and Control Engineering Nanjing University of Information Science & Technology Nanjing210044 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing210096 China College of Automation Nanjing University of Posts and Telecommunications Nanjing210003 China

ISBN: (纸本)9783662452608

Components of power systems essentially belong to a special class of nonlinear differential-algebraic equations subsystem, whose index is one and interconnection is locally measurable. In this paper, the decentralized control problem is discussed using inverse systems method for such class of power systems components. Firstly, the definition of α -order integral right inverse system is presented. Secondly, a recursive algorithm is proposed to judge whether the controlled component is invertible. Then a physically feasible α -order integral right inverse system is constructed with which the controlled component is made linearization and decoupled, so that linear control theory and methods can be applied. Finally, a decentralized excitation controller is designed for one synchronous generator within multi-machine power systems based on the proposed method in this *** simulation results demonstrate the effectiveness of the proposed control scheme. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Decentralized control

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On the computational study of artificial fish swarm algorithm and its improvement

On the computational study of artificial fish swarm algorith...

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2014 International Conference on Manufacturing Technology and Electronics Applications, ICMTEA 2014

作者： Peng, Pei-Zhen Yu, Yi Wang, Zhao-Jia Jiang, Min Key Laboratory of Measurement and Control of Complex Engineering of Ministry of Education School of Automation Southeast University NanjingJiangsu China

ISBN: (纸本)9783038353287

Artificial Fish Swarm Algorithm (AFSA) since 2002 has been proposed by Dr. Li Xiao-lei more than ten years, and has been widely used in various engineering fields. However, since a lot of comprehensive standard running tests has not yet been made with the algorithm, it has not yet been unanimously recognized by the international academic community. By 34 Benchmark Functions tested with AFSA, the result evaluation for functions that are applicable and not applicable by AFSA is summarized. Also in order to overcome the drawbacks of Global Artificial Fish Swarm Algorithm (GAFSA) such as slow convergence and low precision, a modified GAFSA(MS_GAFSA) is proposed. Combined with GAFSA and Modified Simplex, the algorithm can improve the convergence speed and precision of optimization. When GAFSA converges to the global optimum nearby, a simplex is constructed and the algorithm switches to Modified Simplex method which will continue to optimize until a certain stop condition is satisfied. Take the best point of simplex vertex at this time as the optimal value. The computational results on 34 Benchmark functions show that MS_GAFSA does improve in optimizing accuracy and convergence speed. © (2014) Trans Tech Publications, Switzerland.

关键词： Global optimization

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A zigbee-based building energy and environment monitoring system integrated with campus GIS

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International Journal of Smart Home 2014年第2期8卷 107-114页

作者： Qian, Kun Ma, Xudong Peng, Changhai Ju, Qing Xu, Mengyuan Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education China School of Automation Southeast University Nanjing 210096 China School of Architecture Southeast University Nanjing 210096 China IIUSE Southeast University Nanjing 210096 China Key Laboratory of Urban and Architectural Heritage Conservation Ministry of Education China

In this paper, the design and development of a Building Energy and Environment Monitoring System (BEEMS) for smart campus applications is proposed. The system is implemented based on distributed sensor nodes using ZigBee technology, which empowers the collection and monitoring of various types of measurements that reflect the energy consumption and environmental status of buildings. These parameters include temperature, humidity, air velocity, sound, bubble globe temperature, TVOC, CO2 concentration, air quality level, et al. The application software system is developed using jQuery-based Ajax general interactive architecture, and further integrated with campus GIS, which offers rich analysis and report functions for monitoring both energy consumption and environment parameters. © 2014 SERSC.

关键词： Energy utilization

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Novel Embedded System Design and Implementation for Automatic Platelet Aggregometer 33

Novel Embedded System Design and Implementation for Automati...

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第三十三届中国控制会议

作者： JU Ben MA Xudong FANG Fang XU Xin DONG Ziquan SINNOWA Medical Science & Technology Co. LTD School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University

ISBN: (纸本)9781479947249

The platelet aggregation function analysis is applied in clinical research and application more and more *** this paper,an automatic double-channel platelet analysis system PL12 is designed and *** system framework is based on embedded processor ARM and DSP architecture,in which a signal modulation circuit is *** an analog to digital conversion scheme is proposed and realized for measuring weak pulse signals of blood *** principle of control system and management software is also *** validate the high efficiency,precision and stability of the system.

关键词： double-channel,platelet aggregation,signal acquisition,embedded systems

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