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Chinese Automation Congress (CAC)

作者： Nan Yu Jiang-Wen Xiao Yan-Wu Wang Ministry of Education Key Laboratory of Image Processing and Intelligent Control Wuhan P.R.China

ISBN: (纸本)9781467371902

This paper proposes a systematically method for generating high-dimensional grid multi-scroll attractors (GMSAs), including 3-D, 4-D, 5-D and even higher-dimensional GMSAs. Firstly, based on a third-order linear system, higher-order linear systems are constructed by introducing state feedback controllers. Then, switching piecewise linear (PWL) functions, including stair function and saturated series function, are introduced, respectively, to make the higher-order systems generate high-dimensional GMSAs. Besides, some basic dynamical properties of GMSA systems are investigated and numerical simulations are given to demonstrate the feasibility of the proposed method.

关键词： Gold Encryption

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3D model generating method based on multi-views deblurring images

3D model generating method based on multi-views deblurring i...

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International Conference on Optoelectronics and Microelectronics (ICOM)

作者： Yu Shi Hanyu Hong Jie Song Xia Hua Laboratory of Image Processing and Intelligent Control Wuhan Institute of Technology Wuhan P.R.China

The image of moving target which captured though image acquisition system in mobile platform is contaminated by blur and noise, then it make the 3D(3 dimension) model of target difficult to reconstruct. A new method of 3D Model generating is proposed for this question. Firstly, detect SURF characteristic points of deblurred images and match it. Obtain the camera parameter matrix through solve Kruppa equation according to character points which is matched. Then, estimate the points of partly deblurred images and get the blur kernel of the other images with camera model which obtained in the previous step. Finally, according to the camera parameter matrix make space transformation for the pixels of images. A serials experiment validate high-efficiency of the proposed method.

关键词： Solid modeling Three-dimensional displays Cameras Feature extraction Kernel Mathematical model image restoration

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Spiking neural P systems with anti-spikes and without annihilating priority as number acceptors

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Journal of Systems Engineering and Electronics 2014年第3期25卷 464-469页

作者： Gangjun Tan Tao Song Zhihua Chen Key Laboratory of Image Information Processing and Intelligent Control School of AutomationHuazhong University of Science and Technology

Spiking neural P systems with anti-spikes （ASN P systems） are variant forms of spiking neural P systems, which are inspired by inhibitory impulses/spikes or inhibitory synapses. The typical feature of ASN P systems is when a neuron contains both spikes and anti-spikes, spikes and anti-spikes wil immediately annihilate each other in a maximal way. In this paper, a restricted variant of ASN P systems, cal ed ASN P systems without anni-hilating priority, is considered, where the annihilating rule is used as the standard rule, i.e., it is not obligatory to use in the neuron associated with both spikes and anti-spikes. If the annihilating rule is used in a neuron, the annihilation wil consume one time unit. As a result, such systems using two categories of spiking rules （identified by （a, a） and （a,a^-）） can achieve Turing completeness as number accepting devices.

关键词： membrane computing spiking neural P system Turing completeness register machine anti-spike.

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Application Scenarios of Wireless Sensor Networks for Urban Transportation: a Survey

Application Scenarios of Wireless Sensor Networks for Urban ...

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第三十四届中国控制会议

作者： Xiaoya Hu Wei Xiong Wei Li Li Ke School of Automation Huazhong University of Science & Technology Key Laboratory of Ministry of Education for Image Processing and Intelligent Control

ISBN: (纸本)9781467374439

The rapid progress in the research and development of electronics, sensing, signal processing, and communication networks has significantly advanced the state of applications of intelligent transportation systems(ITS). However, efficient and low-cost methods for gathering information in large-scale roads are lacking. Consequently, wireless sensor network(WSN) technologies that are low cost, low power, and self-configuring are a key function in ITS. The current state of the art of application scenarios of WSNs for urban transportation is captured in this paper, where solutions are discussed under their related application schemes. This paper also points out the potential application scenarios and design requirements of WSN for urban transportation.

关键词： WSN,ITS,urban transportation,application scenarios

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Proportional-resonant control of a single-phase to three-phase converter without electrolytic capacitor

Proportional-resonant control of a single-phase to three-pha...

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Chinese Automation Congress (CAC)

作者： Hui Luo Genping Wu Quan Yin Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781467371902

A large electrolytic capacitor is always used to make dc-link voltage stable in a single-phase to three-phase power converter. However, the large electrolytic capacitor occupies a large volume and has a short lifetime as to the home appliances. And additional PFC circuit is needed to correct the grid current. In order to settle these issues, a converter without electrolytic capacitor is studied in this paper. The q-axis current reference is modified for the high grid power factor operation. And the d-axis current reference is generated to achieve the flux-weakening control and to improve the waveform of the output currents and. Proportional-resonant controllers are adopted to obtain the better current performance. The simulation results verify the validity and feasibility of the proposed method.

关键词： Capacitors

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Quantitative Analysis of Temperature Distribution in Cross-Flow Planar SOFC Based on a Validated Model

Quantitative Analysis of Temperature Distribution in Cross-F...

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Chinese Automation Congress

作者： Yali Liu Huan Cheng JianHua Xi Li School of automation Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science & Technology

ISBN: (纸本)9781467371902

In this paper, quantitative analysis was implemented to reveal the mechanism of temperature distributions inside cross-flow stack. For this purpose, a differential model of planar cross-flow SOFC stack was built. The effectiveness of this model on describing temperature distributions were full validated by experiments on single cell and a 40-cell stack. Then, the quantitative analysis was given from two aspects, namely heat produced by reactions and heat transmission between gases and solid layer. Particularly, we rigorously revealed the non-intuitive phenomenon that the fuel temperatures were decreasing inside SOFC stack along the fuel flow direction. Moreover, the research idea and the analytical method proposed in this paper also apply to co-flow and counter-flow SOFC.

关键词： Solid oxide fuel cell Cross-flow Temperature distribution Finite-volume Quantitative analysis

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Laser and Force Sensors Based Human Motion Intent Estimation Algorithm for Walking-aid Robot

Laser and Force Sensors Based Human Motion Intent Estimation...

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IEEE International Conference on Cyber Technology in Automation, control, and intelligent Systems

作者： Qingyang Yan Wenxia Xu Jian Huang Suping Cao Key Laboratory of Ministry of Education for Image Processing and Intelligent Control the School of Automation Huazhong University of Science and Technology

ISBN: (纸本)9781479987313

A human motion intent estimation algorithm based on laser ranger finder and force sensors is designed for a walking-aid robot. By applying the proposed algorithm to the robot, the user can operate the walking-aid robot more fluently, comfortably and safely. A walking-aid or rehabilitation robot normally estimates the user's motion intention by measuring the interactive forces between human and robot. Whereas, the human motion should be represented as a coordination between the arms and the legs movements. This study therefore proposes a human motion intent estimation algorithm by fusing the motion intentions detected by the force sensors and the laser ranger finder, which are used to monitor the movements of arms and legs respectively. A special arrangement of push-pull force sensors is implemented for estimating the human motion intention I from user's operations on the handles. Meanwhile the human motion intention II is extracted by a laser ranger finder observing the user's movement of legs. A multi-sensor fusion algorithm is employed to fuse these two estimates. Experimental results are presented to show the validity of the proposed human motion intent estimation algorithm.

关键词： Human motion force sensors Robot Laser selectors Rehabilitation robotics Arms Arm spiral arm

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Multi-sensor based human motion intention recognition algorithm for walking-aid robot

Multi-sensor based human motion intention recognition algori...

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IEEE International Conference on Robotics and Biomimetics

作者： Wenxia Xu Jian Huang Qingyang Yan Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781467396769

In the coming aging society, it is extremely important to develop devices, which can support and aid the elderly in their daily life. In this paper a multi-sensor based human motion intention recognition algorithm is proposed for walking-aid robot. The mechanism of walking-aid robot was first introduced. Then human intent motion was estimated by force sensors and LRF respectively. A new concept called intentional motion (IM) is proposed to quantitatively describe this moving intention and then estimated by conventional Kalman filter. Based on the two human intent motions estimated by force sensors and LRF, IM can be online inferred by applying Kalman filter method. Finally, the validity of the proposed algorithm is confirmed by the experiments. The experimental results show that the user feels more natural and comfortable when our multi-sensor based human motion intention recognition algorithm is applied.

关键词： Legged locomotion Robot sensing systems Robot kinematics Force sensors Senior citizens

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Reflection invariant local binary patterns for image texture classification

Reflection invariant local binary patterns for image texture...

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Research in Adaptive and Convergent Systems, RACS 2015

作者： Song, Enmin Pan, Ning Hung, Chih-Cheng Li, Xiang Jin, Lianghai School of Computer Science and Technology Huazhong University of Science and Technology Key Laboratory of Education Ministry for Image Processing and Intelligent Control Wuhan430074 China College of Biomedical Engineering South-Central University for Nationalities Wuhan430074 China Sino-US Intelligent Information Processing Lab Anyang Normal University Kennesaw State University MariettaGA30060 United States

ISBN: (纸本)9781450337380

In this study we modified the local binary pattern operator (LBP) to obtain the robust invariant texture patterns for image texture classification. The modified method will be able to calculate patterns which are invariant for translation, scaling, rotation and reflection. Therefore, the modified LBP is called R-LBP. Although many variation of LBP have been proposed, most of them cannot detect and recognize the patterns of reflection. Both clockwise and counter clockwise coding is used in the proposed R-LBP operator in order to derive a minimum code to representing the pattern. Experimental results show that the proposed method is effective in determining the invariant patterns for image texture classification. © 2015 ACM.

关键词： Local binary pattern

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Adaptive fuzzy sliding mode control for pneumatic muscle actuator

Adaptive fuzzy sliding mode control for pneumatic muscle act...

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Chinese Automation Congress (CAC)

作者： Jin Qian Jian Huang Songhyok Ri Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan Hubei China

In this paper, an adaptive fuzzy sliding mode control approach which combines fuzzy control with the sliding mode control, is applied for the tracking control of pneumatic muscle actuator (PMA). This actuator is widely used in the rehabilitation robots while hard to control due to its strong nonlinearity. The switching-type control term in the sliding mode control law is approximated by a fuzzy system. Based on Lyapunov theory, the stability of the closed-loop PMA system can be guaranteed. Both simulation and experimental studies were carried out to verify the proposed methods. The experiments were conducted on a real PMA system, which was connected with the xPC target system. The results demonstrate the validity of the PMA as well as the effectiveness of the control algorithm even there exist system uncertainties and external bounded disturbances.

关键词： Software Real-time systems Fuzzy control Robots Switches Mathematical model Sliding mode control

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