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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Li Peng Zhicheng Ji Jindong Tan School of Communication and Control Engineering Southern Yangtze University Wuxi China Department of Electrical and Computer Engineering Michigan Technological University Houghton MI USA

Sintering process is very important for blaster furnace production. This plant is a heavy nonlinear unknown object, the traditional control is hard to achieve good results. Traditional adaptive pole placement method is effective in linear control system theory with an accurate linear model essentially. Its capability to overcome nonlinear disturbance is limited. The neural network identifier can set up an accurate model for an unknown nonlinear object. A neural network model with a special structure, which is divided into linear and nonlinear parts, is applied into identify an unknown nonlinear system object in this paper. The model identification speed and accuracy are improved. Then, considering the nonlinear part of object as measured disturbance, can be compensated by a feed forward passage, an adaptive pole placement algorithm was investigated in controlling the linear part of object in time. The practical control result on sintering finish point verified the new controller effect

关键词： Intelligent control Programmable control Adaptive control State feedback Neural networks Furnaces Production control system synthesis Nonlinear systems Time measurement

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Asymptotic stability of dynamic bipedal gait with constraint on impact posture

Asymptotic stability of dynamic bipedal gait with constraint...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Fumihiko Asano Zhi-Wei Luo RIKEN Bio-Mimetic Control Research Center Nagoya Japan Department of Computer Science and Systems Engineering Graduate School of Engineering Kobe University Japan

This paper studies the efficiency and asymptotic stability of a dynamic bipedal gait with a constraint on the impact posture. First, we generate a gait by using tracking control to achieve the desired trajectory of the hip-joint angle, and show that there is a trade-off between efficiency and robustness through a numerical simulation. Second, we investigate the asymptotic stability of the gait from the mechanical energy balance viewpoint, and discuss the importance of the control input properties. Furthermore, we point out that there is a feedback in mechanical energy in the discrete walking system, and it is difficult to detect a stable 2-period gait.

关键词： Asymptotic stability Torso Mechanical energy Legged locomotion Limit-cycles Feedback Leg Equations Robot kinematics Robotics and automation

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A Improved Generative Adversarial Networking Architectures for Crowd Counting

A Improved Generative Adversarial Networking Architectures f...

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Chinese Automation Congress (CAC)

作者： Guoxiu Duan Aichun Zhu Xiaomei Zhu Fangqiang Hu Gang Hua School of Computer Science and Technology Nanjing Tech University Nanjing China School of Information and Control Engineering China University of Mining and Technology Xuzhou China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

Crowd counting on computer vision targets at the statistics for the number of people within an image. At present, the problem generally solved by estimating the amount of probability annotation dots within density map generated from the crowd scene. We propose a IGAN(Improved Generative Adversarial Networking) architecture to solve the accuracy of generative density map. The Improved GAN included two parts: generater and discriminator. In the generater, we predict the density maps by inputting images to the generative network. And the work of discriminator is to distinguish features between the generative density map and corresponding given veritable map, and force the generater to produce rational density map as close as the ground truth. The Improved GAN is trained collaboratively by blending together density loss and adversarial loss. Through experiments on five popular public datasets(ShanghaiTech PartA and PartB, WorldEXPO'10, UCF_CC_50 and UCSD), we validate the preferable performance of the Improved GAN in the complex scene.

关键词： Training computer architecture Probability Generative adversarial networks Generators Gallium nitride Standards

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Weighted syncmer sampling improves long-read mapping

Weighted syncmer sampling improves long-read mapping

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Wei Quan Jinjun Kang Yanfei Deng Zhuang Liu Xiao Zhu Guangri Quan School of Computer and Control Engineering Yantai University Yantai China School of Information and Network Security Xinjiang University of Political Science and Law Tumxuk China

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

Syncmers represent a novel class of methods for selecting k-mers that exhibit robustness against mutations in flanking sequences and demonstrate superior conservation in mutated sequences. Nevertheless, syncmers may generate a higher frequency of repetitive seed matches compared to alternative techniques, such as minimizers, which can result in increased computational time. In this article, we introduce weighted minimizer sampling, which integrates weighted minimizer sampling and syncmer sampling to enhance the sensitivity and accuracy of long-read mapping. We modified two state-of-the-art long-read mappers, Minimap2 and Winnowmap, by substituting the sketching sampling methods with weighted minimizer sampling. We assessed their sensitivity and accuracy using simulated and real datasets. The experimental results indicate that weighted minimizer sampling significantly improves the sensitivity and accuracy of long-read mapping. The source code is available at GitHub: https://***/hexinkaoan/weighted-syncmer.

关键词： Hash functions Time-frequency analysis Sequential analysis Sensitivity Accuracy Source coding Sampling methods Robustness Bioinformatics Software development management

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Finite-time guaranteed cost fuzzy control for continuous-time nonlinear systems

Finite-time guaranteed cost fuzzy control for continuous-tim...

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Chinese control Conference (CCC)

作者： Lei Zhang Xiao-Fang Wang Dedong Yang Xiang-Yun Wang School of Control Science and Engineering Hebei University of Technology Tianjin 300130 China College of Computer and Information Engineering Tianjin Normal University 300387 China

The problem of finite-time guaranteed cost fuzzy control for continuous-time nonlinear systems is concerned in this paper. First, the definition on finite-time stability (FTS) for continuous-time nonlinear systems is provided and we give a clear interpretation for finite-time guaranteed cost control. Second, some sufficient conditions are obtained in terms of linear matrix inequities (LMIs), which guarantee the requirements of the provided performance criterion. Finally, a suitable example is provided to illuminate the validity of the proposed scheme.

关键词： Nonlinear systems Fuzzy control Linear matrix inequalities Bismuth Stability criteria Linear systems

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An Image Reconstruction Algorithm Based on the Regularized Minimax Estimation for Electrical Capacitance Tomography

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Journal of Mathematical Imaging and Vision 2010年第3期39卷 269-291页

作者： Lei, Jing Liu, Shi Key Laboratory of Condition Monitoring and Control for Power Plant Equipment Ministry of Education North China Electric Power University Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China

Electrical capacitance tomography (ECT) is considered as a promising process tomography (PT) technology. Image reconstruction algorithms play an important role in the successful applications of ECT. In this paper, a generalized objective functional, which has been developed using the combinational minimax estimation and a generalized stabilizing functional, is proposed. The Newton algorithm is employed to solve the proposed objective functional. The algorithm is tested by the noise-free capacitance data and the noise-contaminated capacitance data, excellent numerical performances and good results are observed. In the cases considered in this paper, the quality of the reconstructed images is markedly improved, which indicates that the algorithm is successful in solving ECT inverse problem. At the same time, the reconstructed results derived from the noise-contaminated capacitance data indicate that the proposed algorithm is competent to treat with the inaccuracy in the capacitance data. As a result, a promising algorithm is introduced for ECT image reconstruction.

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Advances in Vision-Based Lane Detection：Algorithms,Integration,Assessment,and Perspectives on ACP-Based Parallel Vision

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IEEE/CAA Journal of Automatica Sinica 2018年第3期5卷 645-661页

作者： Yang Xing Chen Lv Long Chen Huaji Wang Hong Wang Dongpu Cao Efstathios Velenis Fei-Yue Wang Advanced Vehicle Engineering Centre Cranfield University Bedford MK43 0AL U.K Vehicle Intelligence Pioneers Ltd Qingdao 266000 China School of Data and Computer Science Sun Yat-Sen University Guangzhou 510275 China Mechanical and Mechatronics Engineering with the University of Waterloo 200 University Avenue West Waterloo ON N2L 3G1 Canada State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China ieee

Lane detection is a fundamental aspect of most current advanced driver assistance systems(ADASs). A large number of existing results focus on the study of vision-based lane detection methods due to the extensive knowledge background and the low-cost of camera devices. In this paper, previous visionbased lane detection studies are reviewed in terms of three aspects, which are lane detection algorithms, integration, and evaluation methods. Next, considering the inevitable limitations that exist in the camera-based lane detection system, the system integration methodologies for constructing more robust detection systems are reviewed and analyzed. The integration methods are further divided into three levels, namely, algorithm, system,and sensor. Algorithm level combines different lane detection algorithms while system level integrates other object detection systems to comprehensively detect lane positions. Sensor level uses multi-modal sensors to build a robust lane recognition system. In view of the complexity of evaluating the detection system, and the lack of common evaluation procedure and uniform metrics in past studies, the existing evaluation methods and metrics are analyzed and classified to propose a better evaluation of the lane detection system. Next, a comparison of representative studies is performed. Finally, a discussion on the limitations of current lane detection systems and the future developing trends toward an Artificial Society, Computational experiment-based parallel lane detection framework is proposed.

关键词： Advanced driver assistance systems(ADASs) ACP theory benchmark lane detection parallel vision performance evaluation

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Salinity Sensing by the Radio-Frequency Power Based on the Michelson Interferometer

Salinity Sensing by the Radio-Frequency Power Based on the M...

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Asia Communications and Photonics Conference and Exhibition (ACP)

作者： Lin Gui Xuhui Chen Chengxin Mao Qiankun Li Yu Peng Mengmeng Wu School of Computer and Information Engineering Shanghai polytechnic university Shanghai China School of Intelligent Manufacturing and Control Engineering Shanghai polytechnic university Shanghai China School of resources and environmental Engineering Shanghai polytechnic university Shanghai China

ISBN: (数字)9798350379266

ISBN: (纸本)9798350379273

The salinity sensing technology based on the microwave photonic method is proposed and experimentally verified. The microwave photonic filter is formed by the microwave photonic interferometry of the Michelson interferometer. Contrast to the traditional method based on the optical spectrum measurement, the salinities information can be measured by extracting the minimum values of radio frequency(RF) response curves of microwave photonic filter(MPF). Due to amount of noise and the nonlinearity in the MPF, the minimum values of RF response of MPF vary with time, so the averaged values of several measurements are utilized in data analyzing process. Experimental results show that the salinity sensitivity of 0.284dB/‰ is achieved with the brine concentration in the range of 31‰-40‰ and the value of R-square can reach 0.88 by linearity fitting for salinity sensing, and the value can be improved to 0.979 by Cubic fitting.

关键词： Microwave measurement Radio frequency Optical interferometry Salinity (geophysical) Optical variables measurement Microwave communication Information filters Microwave filters Microwave photonics Optical fiber filters

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Passivity properties for regulation of DC networks with stochastic load demand ⁎

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IFAC-PapersOnLine 2020年第2期53卷 13113-13118页

作者： Amirreza Silani Michele Cucuzzella Jacquelien M.A. Scherpen Mohammad Javad Yazdanpanah Jan C. Wilems Center for Systems and Control ENTEG Faculty of Science and Engineering University of Groningen Nijenborgh 4 9747 AG Groningen the Netherlands. Control & Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

In this paper we present new (stochastic) passivity properties for Direct Current (DC) power networks, where the unknown and unpredictable load demand is modelled by a stochastic process. More precisely, the considered power network consists of distributed generation units supplying ZIP loads, i.e., nonlinear loads comprised of impedance (Z), current (I) and power (P) components. Differently from the majority of the results in the literature, where each of these components is assumed to be constant, we consider time-varying loads whose dynamics are described by a class of stochastic differential equations. Finally, we prove that an existing distributed control scheme achieving current sharing and (average) voltage regulation ensures the asymptotic stochastic stability of the controlled network.

关键词： DC power networks Nonlinear systems Stochastic modelling Passivity theory

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A Hybrid Approach to Predict Churn

A Hybrid Approach to Predict Churn

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IEEE Asia-Pacific Conference on Services Computing (APSCC)

作者： Javad Basiri Fattaneh Taghiyareh Behzad Moshiri School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of ECE University of Tehran Tehran Iran

Acquiring new customers in any business is much more expensive than trying to keep the existing ones. As a result, many prediction algorithms have been proposed to detect churning customers. In this paper, the ordered weighted averaging (OWA) technique is brought to the attention of marketing researchers. We have applied OWA technique to improve the prediction accuracy of existing churn management systems. The decision lists of underlying prediction algorithms have been fused using OWA algorithm. Applied to the database of a telecommunication company, this method is found to significantly improve accuracy in predicting churn compared to the best existing result in the literature of the churn management. Our findings lead us to believe that using OWA technique could cause to increase profit for the companies.

关键词： Classification algorithms Prediction algorithms Open wireless architecture Bagging Boosting Artificial neural networks Classification tree analysis

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