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第35届中国控制会议

作者： Shi Yuanhao Wang Jingcheng Ren Yifeng School of Computer Science and Control Engineering North University of China Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China

ISBN: (纸本)9781509009107

A novel comprehensive real-time on-line calculation model of coal's Low Heating Value(LHV) in coal-fired boiler is presented in this ***,the training operational data is partitioned into several subsets by means of C-Means cluster ***,the Least Squares Support Vector Machine(LS-SVM) method is used to training the sub-models in each ***,the sub-models are combined into one model based on Partial Least Squares algorithm(PLS).The models' effectiveness is illustrated by the validation of online simulation in which the real operation data is *** result shows that it is potential to considerably fulfill not only the accuracy of online monitoring of LHV of the coal into the boiler,but also the real-time computations that are supplied by using indirect heat balance approach.

关键词： Coal-fired Power Plant Boiler Thermal Efficiency Low Heating Value C-Means Cluster LS-SVM PLS

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GSVM-based proteochemometrics modeling for prediction of kinase-inhibitor interaction

International Journal of Control and Automation

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International Journal of Control and automation 2016年第10期9卷 123-134页

作者： Wang, Yiqi Chen, Qingfeng Wang, Chaohong Liang, Yan School of Computer Electronic and Information Guangxi University Nanning530004 China State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources Guangxi University China School of Automation and Information Engineering Qingdao University of Science and Technology 266061 China

Life activity is closely related to the dynamic change of protein. Protein Phosphorylation is one of the most important proc GSVM-Based Proteochemometrics Modeling (PCM) for Prediction of Kinase-inhibitor Interaction within the protein modification after translation. It is found that more than 30% proteins can be phosphorylated. Abnormal protein kinases can lead to diverse diseases, such as cancers. Kinase inhibition is an effective method for disease treatment. However, some inhibitors are able to interact with several kinases that hidden but interesting kinase/inhibitor relationships may be included. Use of multi-targeted mining that select inhibitors act on a group of kinases increases the chance to achieve clinical antitumor activity. Proteochemometrics is a novel technology to predict inhibitor-kinase interactions from the chemical properties of kinase inhibitors which can help design more selective treatment and show better curative effect and low toxicity. This article uses a novel machine learning method called granular support vector machines (GSVM) to correlate the descriptors of kinase inhibitors and kinases to the interaction activities. GSVM develops on the basis of statistical learning theory and granular computing theory and thus provides an interesting new mechanism to address complex classification problems. Compared with other algorithms, GSVM gets better predictive abilities whose q2=0.89. © 2016 SERSC.

关键词： Forecasting

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Joint depth map interpolation and segmentation with planar surface model 16

Joint depth map interpolation and segmentation with planar s...

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2016 SIGGRAPH ASIA Technical Briefs, SA 2016

作者： Xu, Shibiao Dai, Longquan Zhang, Jiguang Tang, Jinhui Kumar, G. Hemanth Zhang, Yanning Zhang, Xiaopeng National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China Department of Computer Science University of Mysore Mysore India School of Computer Science Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781450345415

Depth map interpolation and segmentation has been a long-standing problem in computer vision. However, many people treat them as two independent problems. Indeed, the two problems are complementary. The results of one problem can aid in improving the results of the other in powerful ways. Assuming that the depth map consists of planar surfaces, we propose a unified variational formula for joint depth map interpolation and segmentation. Specifically, our model uses a multi-label representation of the depth map, where each label corresponds to a parametric representation of the planar surface on a segment. Using alternating direction method, we are able to find the minimal solution. Experiments show our algorithm outperforms other methods. © 2016 ACM.

关键词： Interpolation

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Note: Measuring instrument of singlet oxygen quantum yield in photodynamic effects

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Review of Scientific Instruments 2017年第6期88卷 066102-066102页

作者： Li, Zhongwei Zhang, Pengwei Zang, Lixin Qin, Feng Zhang, Zhiguo Zhang, Hongli School of Electrical Engineering and Automation Harbin Institute of Technology Harbin150001 China School of Computer Science and Technology Harbin Institute of Technology Harbin150001 China Condensed Matter Science and Technology Institute Harbin Institute of Technology Harbin150080 China Laboratory of Sono- and Photo-Theranostic Technologies Harbin Institute of Technology Harbin150080 China

Using diphenylisobenzofuran (C20H14O) as a singlet oxygen (1O2) reporter, a comparison method, which can be used to measure the singlet oxygen quantum yield (ΦΔ) of the photosensitizer quantitatively, is presented in this paper. Based on this method, an automatic measuring instrument of singlet oxygen quantum yield is developed. The singlet oxygen quantum yield of the photosensitizer hermimether and aloe-emodin is measured. It is found that the measuring results are identical to the existing ones, which verifies the validity of the measuring instrument. © 2017 Author(s).

关键词： Quantum yield

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Motion trajectory design and tracking control for underactuated Furata pendulum system

Motion trajectory design and tracking control for underactua...

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IEEE International Conference on automation science and engineering (CASE)

作者： Ancai Zhang Jianlong Qiu Chaomin Luo Chengdong Yang Zhenxing Li School of Automation and Electrical Engineering Linyi University Linyi Shandong China Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong (Linyi University) Linyi Shandong China Department of Electrical and Computer Engineering University of Detroit Mercy MI USA School of Information Science and Engineering Linyi University Linyi Shandong China

This paper discusses the motion trajectory design and tracking control problem for an underactuated mechanical system called Furuta pendulum. Firstly, the dynamic equations of a Furuta pendulum system are given. And the dynamic properties of this mechanical system are analyzed. Secondly, we construct a trajectory for the Furuta pendulum in its motion space based on the analysis properties. Afterwards, a tracking controller is designed to track the constructed motion trajectory. This guarantees the stabilization of the Furuta pendulum from an initial point to an objective point to be achieved. To demonstrate the validity of our proposed theoretical analysis results, a numerical example is presented finally.

关键词： Trajectory Tracking Mathematical model Mechanical systems Aerospace electronics Dynamics

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A unified leader-follower scheme for mobile robots with uncalibrated on-board camera

A unified leader-follower scheme for mobile robots with unca...

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IEEE International Conference on Robotics and automation (ICRA)

作者： Dejun Guo Hesheng Wang Weidong Chen Ming Liu Zeyang Xia Kam K. Leang DARC (Design Automation Robotics & Control) Lab University of Utah Robotics Center Salt Lake City Utah USA State Key Laboratory of Robotics and System (HIT) Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Automation Shanghai Jiao Tong University Shanghai China Department of Electronics and Computer Engineering Hong Kong University of Science and Technology Hong Kong China Institute of Biomedical and Health Engineering Chinese Academy of Sciences Shenzhen China

This paper studies the problem of image-based leader-follower formation control for mobile robots, where the controller is designed independently of the leader's motion. An adaptive control scheme, which is suitable for both omnidirectional and perspective cameras, is proposed. The proposed approach avoids the need for accurate calibration of the extrinsic parameters of the omnidirectional camera as well as the intrinsic and extrinsic parameters of perspective camera. Additionally, the coefficients of the plane where the feature point moves relative to the camera frame can be uncertain. These uncertain constant parameters are estimated using an adaptive estimator. Uniform Semi-global Practical Asymptotic Stability (USPAS) of the system is shown using the Lyapunov approach. Experimental results are presented to demonstrate the effectiveness of the proposed control scheme.

关键词： Cameras Robot vision systems Kinematics Mobile robots Calibration automation

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H∞ Consensus Control for Uncertain Stochastic Multi-Agent Systems:A Sliding Mode Approach 35

H∞ Consensus Control for Uncertain Stochastic Multi-Agent S...

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第35届中国控制会议

作者： ZHAO Lin JIA Yingmin YU Jinpeng WANG Na DU Junping School of Automation and Electrical Engineering Qingdao University The Seventh Research Division Beihang University (BUAA) Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications

ISBN: (纸本)9781509009107

This paper studies the consensus control problem of stochastic multi-agent systems subject to unknown state nonlinearities and external disturbances.A novel distributed integral-type sliding surface is constructed for each agent,and a sufficient condition based on linear matrix inequalities（LMIs） is given,which can guarantee the system states are mean-square consensus with H disturbance attenuation index on sliding ***,a distributed adaptive sliding mode control（SMC） law with updated law is proposed such that the sliding surface is *** example is included to show the effectiveness of the proposed method.

关键词： Multi-agent systems Stochastic systems H_∞ Sliding mode control External disturbances

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A NSGA-II with alternating direction method of multipliers mutation for solving multiobjective robust principal component analysis problem

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Journal of Computational and Theoretical Nanoscience 2016年第6期13卷 3722-3733页

作者： Yuan, Weitao Liang, Xiaodan Chen, Hanning Na, Lin Zou, Tao School of Computer Science and Software Engineering Tianjin Polytechnic University Tanjin300387 China Beijing Shenzhou Aerospace Software Technology Company Limited Beijing110000 China Laboratory of Information Service and Intelligent Control Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China

Robust Principal Component Analysis (RPCA), which is a popular parsimony model, is becoming increasingly important for researchers to do data analysis and prediction. The RPCA formulation is made of two components: sparse penalty and low rank penalty. These two competing terms are balanced with one parameter, which is essential for the effectiveness of RPCA. However, in real-world applications, the lack of data adaptive methods for choosing the right parameter hinders the popularization of RPCA. In this work, RPCA is generalized to a multiobjective optimization problem without any balancing parameter. The new model is named as Multiobjective Robust Principal Component Analysis (MRPCA). We aim to solve MRPCA via Evolutionary Algorithm. To the best knowledge of authors, this is the first attempt to use evolutionary algorithm to solve RPCA problem, which is a high dimensional convex optimization problem. Specifically, one of the popular evolutionary algorithm, NSGA-II, is tested on MRPCA problem. The curse of dimensionality is observed when the dimension of MRPCA problem increases. To handle this dimensionality problem, we introduce a novel mutation, termed as Alternating Direction Method of Multipliers mutation (ADMM mutation), that works well in high dimensional decision space. Numerical experiments show that this modified NSGA-II, which converges much faster than the standard one, can deal with the curse of dimensionality well. Furthermore, numerical image reconstruction test confirms that the reconstruction performance of our modified NSGA-II is better than the traditional proximal algorithm, which is usually used to solve RPCA problem. Copyright © 2016 American Scientific Publishers. All rights reserved.

关键词： Multiobjective optimization

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A novel extended potential field controller for use on aerial robots

A novel extended potential field controller for use on aeria...

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2016 IEEE International Conference on automation science and engineering, CASE 2016

作者： Woods, Alexander C. Lay, Hung M. Ha, Quang P. Advanced Robotics and Automation Laboratory Department of Computer Science and Engineering University of Nevada RenoNV89557 United States School of Electrical Mechanical and Mechatronic Systems University of Technology Sydney Australia

ISBN: (纸本)9781509024094

Unmanned Aerial Vehicles (UAV), commonly known as drones, have many potential uses in real world applications. Drones require advanced planning and navigation algorithms to enable them to safely move through and interact with the world around them. This paper presents an extended potential field controller (ePFC) which enables an aerial robot, or drone, to safely track a dynamic target location while simultaneously avoiding any obstacles in its path. The ePFC outperforms a traditional potential field controller (PFC) with smoother tracking paths and shorter settling times. The proposed ePFC's stability is evaluated by Lyapunov approach, and its performance is simulated in a Matlab environment. Finally, the controller is implemented on an experimental platform in a laboratory environment which demonstrates the effectiveness of the controller. © 2016 IEEE.

关键词： Controllers

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Optimal Innovation-Based Deception Attack on Remote State Estimation

Optimal Innovation-Based Deception Attack on Remote State Es...

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American Control Conference

作者： Shuang Wu Ziyang Guo Dawei Shi Karl Henrik Johansson Ling Shi Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology 100081 China ACCESS Linnaeus Centre School of Electrical Engineering KTH Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9781509045839

The security issue in cyber-physical systems has attracted growing interests in the last decades. This paper considers how false data injection attack can degrade the estimation quality of a remote state estimation system. In this system, smart sensors measure a dynamic process and send preprocessed data through a communication network to a remote estimator to estimate the process. It is assumed that there are malicious attackers in the communication network, who are able to obtain and falsify all the data sent by the sensors. It is common that the remote estimator is equipped with a residue-based detector to detect potential attacks. We propose a class of deception attack and analyze its feasibility. We show that the proposed attack enables the attacker to inject false data into the remote estimator without being detected. We derive a criterion to judge the optimality of performance of this type of attack in the sense of maximizing the estimation error covariance. Furthermore, we find that a simple linear attack strategy, which flips the sign of intercepted signal, satisfies the optimality criterion. We present numerical examples to illustrate our theoretical results.

关键词： Cyber-physical systems (CPS) deception attack remote state estimation

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