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4th International Conference on Intelligence Science and Big Data engineering, IScIDE 2013

作者： Song, Ruizhuo Xiao, Wendong Wei, Qinglai School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9783642420566

This paper discusses the energy minimization problem of a class of chaotic systems, and constructs an optimal neuro-controller based on adaptive dynamic programming (ADP) algorithm. To learn the optimal performance index and control policy, an iterative algorithm is established. To prove the convergence of the presented iterative algorithm, theorems with rigorous and detailed proofs are given. It is proven that the iterative performance index functions are monotone decreasing and converge to the minimum energy. A simulation example is used to indicate that the presented energy minimization control method is effective. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Chaotic systems

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Asymptotic backsteppinging stabilization of SISO nonlinear DAE subsystems using artificial neural networks

Asymptotic backsteppinging stabilization of SISO nonlinear D...

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2013 2nd International Conference on Manufacturing engineering and Process, ICMEP 2013

作者： Qiang, Zang Ying, Zhou School of Information and Control Engineering Nanjing University of Information Science and Technology Nanjing 210044 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China College of Automation Nanjing University of Posts and Telecommunications Nanjing 210003 China

ISBN: (纸本)9783037857076

The problem of robust stabilization for a class of SISO uncertain nonlinear Differential-Algebraic Eqyatuion subsystems is considered in this paper. The robust stabilization controller is proposed based on backstepping approach using two-layer Artificial Neural Networks (ANN) whose weights are updated on-line. A new adaptive algorithm is proposed to update the weights of ANN such that all signals in the closed-loop systems are bounded and the states are convergent asymptotically to the equilibrium through the proposed controller. © (2013) Trans Tech Publications, Switzerland.

关键词： Backstepping

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Optimized neural network ensemble by combination of particle swarm optimization and differential evolution

Optimized neural network ensemble by combination of particle...

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10th International Symposium on Neural Networks, ISNN 2013

作者： Zhao, Zeng-Shun Feng, Xiang Wei, Fang Wang, Shi-Ku Cao, Mao-Yong Hou, Zeng-Guang College of Information and Electrical Engineering Shandong University of Science and Technology Qingdao 266590 China School of Control Science and Engineering Shandong University Jinan 250061 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9783642390647

The Neural-Network Ensemble (NNE) is a very effective method where the outputs of separately trained neural networks are combined to perform the prediction. In this paper, we introduce the improved Neural Network Ensemble (INNE) in which each component forward neural network (FNN) is optimized by particle swarm optimization (PSO) and back-propagation (BP) algorithm. At the same time, the ensemble weights are trained by Particle Swarm Optimization and Differential Evolution cooperative algorithm(PSO-DE). We take two obviously different populations to construct our algorithm, in which one population is trained by PSO and the other is trained by DE. In addition, we incorporate the fitness value from last iteration into the velocity updating to enhance the global searching ability. Our experiments demonstrate that the improved NNE is superior to existing popular NNE. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Iterative methods

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Vehicle detection method based on active basis model and symmetry in ITS

Vehicle detection method based on active basis model and sym...

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2013 16th International IEEE Conference on Intelligent Transportation systems: Intelligent Transportation systems for All Modes, ITSC 2013

作者： Yao, Yanjie Gang, Xiong Wang, Kunfeng Zhu, Fenghua Wang, Fei-Yue State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Dongguan China

ISBN: (纸本)9781479929146

Vehicle detection is a foundational and significant task in video surveillance systems. In this paper, a vehicle detection method using a deformable model and symmetry is proposed. First, we learn the active basis model (ABM) from the target training sample set by using the shared sketch algorithm. Then, we utilize the edge information obtained by ABM and HSV color information to do symmetry analysis for vehicle objects. The ABM can detect vehicles in various poses, shapes, and sizes for its deformability. By doing edge and color symmetry analysis, subtle difference between two images and environment noises can be adapted. The results of experiments indicate that our approach is capable of detection different vehicles and localization vehicle in bad environment. What's important, the detection results support the capability of the proposed method to enable the introduction of novel intelligent transportation systems applications. © 2013 IEEE.

关键词： Vehicles

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Global output feedback stabilization for a class of nonlinear planar systems with output-dependent growth rates

Global output feedback stabilization for a class of nonlinea...

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3rd IFAC Conference on Intelligent control and Automation Science, ICONS 2013

作者： Wang, Xiangyu Qian, Chunjiang Li, Shihua School of Automation Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education China Department of Electrical and Computer Engineering University of Texas at San Antonio San Antonio TX 78249 United States

ISBN: (纸本)9783902823458

In this paper, we consider the global output feedback stabilization problem for a class of nonlinear planar systems under a more general growth condition. The nonlinearities in such a system are bounded by both lower-order and higher-order terms with an output-dependent growth rate. This problem is solved by integrating the feedback domination technique and a novel dual observer approach, where two individual observers are constructed in parallel with one estimating the linear part of the unmeasurable state and the other estimating the higher-order part. Moreover, the presented observers and the output feedback controller all have nonlinear gains. Simulations illustrate the effectiveness of the proposed stabilization scheme. Copyright © 2013 IFAC.

关键词： Growth rate

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sEMG based joint angle estimation of lower limbs using LS-SVM

sEMG based joint angle estimation of lower limbs using LS-SV...

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20th International Conference on Neural Information Processing, ICONIP 2013

作者： Li, Qingling Song, Yu Hou, Zengguang Zhu, Bin Department of Mechanical Engineering China University of Mining and Technology Beijing China School of Electronic and Information Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing China

ISBN: (纸本)9783642420535

In this paper, a new estimation model based on least squares support vector machine (LS-SVM) is proposed to build up the relationship between Surface electromyogram (sEMG) signal and joint angle of the lower limb. The input of the model is 2 channels of preprocessed sEMG signal. The outputs of the model are joint angles of the hip and the knee. sEMG signal is acquired from 7 motion muscles in treadmill exercise. And two channels of them are selected for dynamic angle estimation for their strong correlation with angle data. Angle estimation model is constructed by 2 independent LS-SVM based regression model with radial basis function (RBF). It is trained using part of the sample sets acquired in 10s exercise duration and test by all data. Experimental result shows proposed method has good performance on joint angles estimation based sEMG. Root mean square error (RMSE) of prediction knee and hip joint angles is 3.02° and 2.09° respectively. It provide new human-machine interface for active rehabilitation training of SCI, stroke or neurological injury patients. © Springer-Verlag 2013.

关键词： Patient rehabilitation

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Adaptive Wavelet Packet Filter-Bank Based Acoustic Feature for Speech Emotion Recognition

Adaptive Wavelet Packet Filter-Bank Based Acoustic Feature f...

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2013年中国智能自动化学术会议

作者： Yue Li Guobao Zhang Yongming Huang School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

In this paper,a wavelet packet based adaptive filter-bank construction method is proposed,with additive Fisher ratio used as wavelet packet tree pruning criterion.A novel acoustic feature named discriminative band wavelet packet power coefficients(db-WPPC) is proposed and on this basis,a speech emotion recognition system is *** results show that the proposed feature improves emotion recognition performance over the conventional MFCC feature.

关键词： Speech emotion recognition Wavelet packets Filter-bank design Speech signal processing

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Finite-time consensus algorithms for multiple AUVs

Finite-time consensus algorithms for multiple AUVs

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第三十二届中国控制会议

作者： Shihua Li Xiangyu Wang School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (纸本)9781479900305

In this paper,finite-time consensus problem is investigated for multi-AUV(autonomous underwater vehicle) systems. Based on homogeneous control method,finite-time consensus algorithms are proposed for both leaderless and leader-follower multi-AUV ***,in the leader-follower case,a novel distributed finite-time observer is developed for the followers to estimate the leader's *** demonstrate the effectiveness of the proposed control algorithms.

关键词： Finite-time consensus AUVs leaderless leader-follower

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What is the uniqueness of growth pattern in human flesh search organization?

What is the uniqueness of growth pattern in human flesh sear...

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Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2013

作者： Wang, Tao Zhang, Qingpeng Fu, Julei Wang, Xiao Zheng, Suncong College of Information System and Management National University of Defense Technology Changsha 410073 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Systems and Industrial Engineering University of Arizona Tucson AZ United States

ISBN: (纸本)9783642396922

Human Flesh Search is an explosive Web phenomenon these years in China, especially when new media, such as Weibo, appeared. In this research, we present the empirical studies about growing patterns of participated Human Flesh Search user, and unveiled one unique growing property. Based on the empirical findings, we compare it with two others results, one is the common Weibo's growth pattern, and the other is the popularity growth pattern of photo in Flickr. Some differences are proposed and analyzed briefly. © 2013 Springer-Verlag.

关键词： Social networking (online)

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Particle swarm optimization and its application in multi-robot systems

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Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) 2013年第SUPPL.2期44卷 126-132页

作者： Ni, Chunbo Kong, Yifei Yang, Yuequan Cao, Zhiqiang Zhang, Tianping College of information Engineering Yangzhou University Yangzhou 225009 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

Particle swarm optimization is a focus on queue control, path optimization, destination search, and so on in multiple robot systems, of which the main idea is that the optimization solution of swarm behaviors are to be obtained through iteration update of velocities and coordinate positions of particles. Based on analysis of particle swarm principle and of mechanism of its main parameters, comparative researches on particle swarm with genetic algorithm, ant colony algorithm, and neural network are given, respectively. Then a survey on research progresses of particle swarm optimization and relative modified new optimization algorithms applied in robot/multi-robot systems is given. Finally, the outlook of future work on particle swarm optimization applied in multi-robot systems under community perception networks is proposed.

关键词： Genetic algorithms

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