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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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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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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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Hand-eye servo and flexible control of an anthropomorphic arm

Hand-eye servo and flexible control of an anthropomorphic ar...

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2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013

作者： Ma, Gan Huang, Qiang Yu, Zhangguo Chen, Xuechao Meng, Libo Sultan, Malik Saad Zhang, Wen Liu, Yan IRI School of Mechatronical Engineering Beijing Institute of Technology Beijing China Key Laboratory of Biomimetic Robots and Systems Ministry of Education China Key Laboratory of Intelligent Control and Decision of Complex System China

ISBN: (纸本)9781479927449

One key technology for a humanoid robot is to sense the environment accurately and control the movement of the robot in realtime. This paper addresses this problem and focuses on the visual servoing control of an anthropomorphic robotic arm. A high precision, image-based visual servo algorithm for an eye-in-hand visual system is proposed to control the movement of the anthropomorphic arm. The control objective of the controller is to lock all the feature points at fixed points on the image plane. Then, impedance control law is implemented to keep the flexible of the arm. Finally, the effectiveness of the proposed methods are verified by experiments on our humanoid robotic arm platform. © 2013 IEEE.

关键词： Anthropomorphic robots

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ICP matching algorithm-based localization of indoor mobile robots

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2013年第SUPPL.I期41卷 262-266页

作者： Gu, Wenhua Zhou, Bo Dai, Xianzhong Key Laboratory of Measurement and Control of Complex System Engineering of Ministry of Education School of Automation Southeast University Nanjing 210096 China

The localization of indoor mobile robots was studied. Point cloud data of surrounding environments were obtained by a two-dimensional laser range finder, and then three scan-matching algorithms, including Trimmed ICP (iterative closest point) algorithm, corner feature matching based HAYAI algorithm, as well as point-line matching based PLICP algorithm, were used respectively to estimate the relative displacement between two consecutive measurements to calibrate the localization result from odometer approaches. Better accuracy of long-range localization of indoor mobile robot could be achieved thereby. In the simulation, both the real-time property and accuracy of the mentioned three methods used were compared, showing the effectiveness and application field of the methods.

关键词： Mobile robots

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The CPG gait generate method of the quadruped robot based on iterative learning control algorithm

The CPG gait generate method of the quadruped robot based on...

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2013 2nd International Conference on Micro Nano Devices, Structure and Computing systems, MNDSCS 2013

作者： Wang, Cheng Gao, Junyao Duan, Xingguang Liu, Yi Li, Xin Xu, Zhe Sun, Wentao Intelligent Robotics Institute China Key Laboratory of Biomimetic Robots and Systems Ministry of Education China Key Laboratory of Intelligent control and decision of complex systems School of Mechatronical Engineering Beijing Institute of Technology Nandajie Zhongguancun Haidian Beijing 100081 China

ISBN: (纸本)9783037856420

Based on the quadruped robot, this paper mainly studies the two directions of the content. The first part mainly introduces the mechanical structure design and the construction of the control system of the quadruped robot, completes the prototype design of the quadruped robot based on hydraulic power system. The second part studies the CPG gait generate method of the quadruped robot based on iterative learning control algorithm. From the principle of bionics, firstly, we use the CPG principle to generate gait, and then use the iterative learning control theory to make the control more optimization. © (2013) Trans Tech Publications, Switzerland.

关键词： Learning algorithms

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Effects of adaptive dynamical linking in networked games

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Physical Review E 2013年第4期88卷 042128-042128页

作者： Zhihu Yang Zhi Li Te Wu Long Wang Center for Complex Systems Department of Automatic Control Engineering Xidian University Xi'an 710071 China Center for Systems and Control State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University Beijing 100871 China

The role of dynamical topologies in the evolution of cooperation has received considerable attention, as some studies have demonstrated that dynamical networks are much better than static networks in terms of boosting cooperation. Here we study a dynamical model of evolution of cooperation on stochastic dynamical networks in which there are no permanent partners to each agent. Whenever a new link is created, its duration is randomly assigned without any bias or preference. We allow the agent to adaptively adjust the duration of each link during the evolution in accordance with the feedback from game interactions. By Monte Carlo simulations, we find that cooperation can be remarkably promoted by this adaptive dynamical linking mechanism both for the game of pairwise interactions, such as the Prisoner's Dilemma game (PDG), and for the game of group interactions, illustrated by the public goods game (PGG). And the faster the adjusting rate, the more successful the evolution of cooperation. We also show that in this context weak selection favors cooperation much more than strong selection does. What is particularly meaningful is that the prosperity of cooperation in this study indicates that the rationality and selfishness of a single agent in adjusting social ties can lead to the progress of altruism of the whole population.

关键词： PRISONER'S dilemma game DYNAMICAL systems ELECTRIC network topology FEEDBACK control systems MONTE Carlo method STOCHASTIC models

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Spatio-temporal EEG data classification in the NeuCube 3D SNN environment: Methodology and examples

Spatio-temporal EEG data classification in the NeuCube 3D SN...

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20th International Conference on Neural Information Processing, ICONIP 2013

作者： Kasabov, Nikola Hu, Jin Chen, Yixiong Scott, Nathan Turkova, Yulia Knowledge Engineering and Discovery Research Institute Auckland University of Technology New Zealand State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783642420504

A vast amount of complex spatio-temporal brain data, such as EEG-, have been accumulated. Technological advances in many disciplines rely on the proper analysis, understanding and utilisation of these data. In order to address this great challenge, the paper utilizes the recently introduced by one of the authors 3D spiking neural network environment called NeuCube for spatio-temporal EEG data classification. A methodology is proposed and illustrated on two small-scale examples: classifying EEG data for music- versus noise perception, and person identification based on music perception. Future development and usage of the NeuCube environment can be expected to significantly further the creation of novel brain-computer interfaces, cognitive robotics and medical engineering devices. © Springer-Verlag 2013.

关键词： Neural networks

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NeuCubeRehab: A pilot study for EEG classification in rehabilitation practice based on spiking neural networks

NeuCubeRehab: A pilot study for EEG classification in rehabi...

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20th International Conference on Neural Information Processing, ICONIP 2013

作者： Chen, Yixiong Hu, Jin Kasabov, Nikola Hou, Zengguang Cheng, Long State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Knowledge Engineering and Discovery Research Institute Auckland University of Technology Auckland New Zealand

ISBN: (纸本)9783642420504

One of the most important issues among active rehabilitation technique is how to extract the voluntary intention of patient through bio-signals, especially EEG signal. This pilot study investigates the feasibility of utilizing a 3D spiking neural networks-based architecture named NeuCube for EEG data classification in the rehabilitation practice. In this paper, the architecture of the NeuCube is designed and a Functional Electrical Stimulation (FES) rehabilitation scenario is introduced which requires accurate classification of EEG signal to achieve active FES control. Three classes of EEG signals corresponding to three imaginary wrist motions are collected and classified. The NeuCube architecture provides promising classification results, which demonstrates our proposed method is capable of extracting the voluntary intention in the rehabilitation practice. © Springer-Verlag 2013.

关键词： Neural networks

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