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The Society of Instrument and Control Engineers Annual Conference 2015

作者： WANG Yongkun LIU Zhongxin SUN Mingwei CHEN Zengqiang Department of Automation Nankai University Tianjin Key Laboratory of Intelligent Robotics College of Computer and Control Engineering Nankai University

ISBN: (纸本)9784907764487

Conventional proportional navigation or augmented proportional navigation guidance laws are widely used for intercepting maneuverable targets;however, they are effective only in intercepting a target with a constant velocity or a known acceleration. In this paper, a continuous second-order sliding mode guidance law is designed to intercept a highly maneuverable target in connection with the super-twisting algorithm. Meanwhile, the target maneuver information, regarded as unpredictable disturbance, is coped with by an extended state observer(ESO) and then is compensated in the guidance law. In the proposed guidance scheme, no information about target motion is needed. The closed-loop error can be guaranteed to be bounded by using Lyapunov method. The simulation results demonstrate the effectiveness and robustness of the proposed guidance method against a highly maneuverable target.

关键词： guidance law second-order sliding mode super-twisting algorithm extended state observer target maneuver

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ACP-based social computing and parallel intelligence： Societies 5.0 and beyond

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CAAI Transactions on Intelligence Technology 2016年第4期1卷 377-393页

作者： XiaoWang Lingxi Li Yong Yuan Peijun Ye Fei-Yue Wang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Qingduo Academy of Intelligent Industries Qingduo 266100 China Department of Electrical and Computer Engineering Purdue School of Engineering and Technology Indiana University-Purdue University Indianapolis Indianapolis IN 46202 USA

Social computing, as the technical foundation of future computational smart societies, has the potential to improve the effectiveness of opensource big data usage, systematically integrate a variety of elements including time, human, resources, scenarios, and organizations in the current cyber-physical-social world, and establish a novel social structure with fair information, equal rights, and a flat configuration. Meanwhile, considering the big modeling gap between the model world and the physical world, the concept of parallel intelligence is introduced. With the help of software-defined everything, parallel intelligence bridges the big modeling gap by means of constructing artificial systems where computational experiments can be implemented to verify social policies, economic strategies, and even military operations. Artificial systems play the role of ＂social laboratories＂ in which decisions are computed before they are executed in our physical society. Afterwards, decisions with the expected outputs are executed in parallel in both the artificial and physical systems to interactively sense, compute, evaluate and adjust system behaviors in real-time, leading system behaviors in the physical system converging to those proven to be optimal in the artificial ones. Thus, the smart guidance and management for our society can be achieved.

关键词： Social computing Societies 5.0 Parallel intelligence Knowledge automation Cyber-physical-social system Artificial societies Computational ex-periments Parallel execution

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Linearized PID control in a nonlinear model of an active hydromagnetic journal bearing

Linearized PID control in a nonlinear model of an active hyd...

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作者： Farmakopoulos, Michael G Thanou, Michalis D Nikolakopoulos, Pantelis G Papadopoulos, Chris A Tzes, Anthony P Machine Design Laboratory Department of Mechanical Engineering and Aeronautics University of Patras Patras26504 Greece Automation and Robotics Laboratory Electrical and Computer Engineering Department University of Patras Patras Greece

A proportional-integral-derivative (PID) control model of an active hydromagnetic journal bearing (AHJB) is presented here and its design guidelines are explicitly described. The nonlinear rotor equations of motion, is introduced. Then, the linearization of these equations in the bearing specific equilibrium point is performed and presented along with the appropriate PID gains. Consequentially, the linear equation is transformed via Laplace method and the control model of the AHJB is finally developed. The multiphysics module of Ansys is used to calculate the forces that the hydrodynamic lubrication applies to the rotor, in every position of the rotor, during its movement inside the bearing. This has been done, in order not to have linear equations of the hydrodynamic forces, but the real, nonlinear equations. The nonlinear equations are used for the electromagnetic forces too. The Matlab software is used to simulate the components that the AHJB is consisted of. The P, I, and D gains are the obtained results of this simulations, which are produced via robust control method, in single-input-single-output tool module. Finally, the Simulink module of Matlab is energized to check the control characteristics of the developed AHJB system, taking into account the nonlinear equations of motion of the system, in combination with the rotor unbalance and gyroscopic effects and the saturation of the coils. The rotor response, the overshoot, the rotor center vibration are controlled using the above produced P, I, and D gains. Several plots are constructed and presented, such as the rotor orbits, to show the possibility of the AHJB control. © 2014 IMechE.

关键词： Simulink

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A multi-label classification approach for the detection of broken bars and mixed eccentricity faults using the start-up transient

A multi-label classification approach for the detection of b...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： George Georgoulas Vicente Climente-Alarcon Jose A. Antonino-Daviu Chrysostomos D. Stylios Antero Arkkio George Nikolakopoulos Control Engineering Group University of Technology Luleå Sweden Department of Electrical Engineering and Automation Aalto University Aalto Finland Instituto Tecnologico de la Energia Universitat Politècnica de València Valencia Spain Department of Computer Engineering Laboratory of Knowledge and Intelligent Computing Kostakioi Greece

ISBN: (纸本)9781509028719

In this article a data driven approach for the classification of simultaneously occurring faults in an induction motor is presented. The problem is treated as a multi-label classification problem with each label corresponding to one specific fault, using the power-set approach. The faulty conditions examined, include the existence of a broken bar fault and the presence of mixed eccentricity with various degrees of static and dynamic eccentricity. For the feature extraction stage, the time-frequency representation, resulting from the application of the short time Fourier transform of the start-up current is exploited. The proposed approach is validated using simulation data with promising results.

关键词： Bars Time-frequency analysis Induction motors Transient analysis Principal component analysis Fault diagnosis Classification algorithms

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Corrigendum to “Road detection algorithm for Autonomous Navigation Systems based on dark channel prior and vanishing point in complex road scenes” [Robot. Auton. Syst. 85 (2016) 1–11]

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robotics and Autonomous Systems 2017年 88卷 202-202页

作者： Yong Li Weili Ding Xuguang Zhang Zhaojie Ju Laboratory of Pattern Recognition and Intelligent Systems Key Laboratory of Industrial Computer Control Engineering of Hebei Province Department of Automation Institute of Electrical Engineering Yanshan University Qinghuangdao Hebei 066004 China College of Information Science and Engineering Northeastern University Shenyang Liaoning 110004 China School of Computing University of Portsmouth PO1 3HE UK

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A continuous second-order sliding mode guidance against highly maneuverable targets 54

A continuous second-order sliding mode guidance against high...

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54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015

作者： Yongkun, Wang Zhongxin, Liu Mingwei, Sun Zengqiang, Chen Department of Automation Nankai University Tianjin300071 China Tianjin Key Laboratory of Intelligent Robotics College of Computer and Control Engineering Nankai University Tianjin300071 China

ISBN: (纸本)9784907764487

Conventional proportional navigation or augmented proportional navigation guidance laws are widely used for intercepting maneuverable targets;however, they are effective only in intercepting a target with a constant velocity or a known acceleration. In this paper, a continuous second-order sliding mode guidance law is designed to intercept a highly maneuverable target in connection with the super-twisting algorithm. Meanwhile, the target maneuver information, regarded as unpredictable disturbance, is coped with by an extended state observer (ESO) and then is compensated in the guidance law. In the proposed guidance scheme, no information about target motion is needed. The closed-loop error can be guaranteed to be bounded by using Lyapunov method. The simulation results demonstrate the effectiveness and robustness of the proposed guidance method against a highly maneuverable target. © 2015 The Society of Instrument and Control Engineers-SICE.

关键词： Lyapunov methods

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A New Mathematical Modelling Approach for Viticulture and Winemaking Using Fuzzy Cognitive Maps

A New Mathematical Modelling Approach for Viticulture and Wi...

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作者： Peter, Groumpos P. Antigoni, Anninou P. Vasileios, Groumpos P. Laboratory of Automation and Robotics Department of Electrical and Computer Engineering University of Patras Rio26500 Greece Master Stud. Agricultural University of Athens Athens Greece

The aim of this paper is to present a new approach in modelling wine quality and quantity using Fuzzy Cognitive Maps trained by non linear Hebbian learning algorithm. The methodology described extracts the knowledge from the experts and exploits their experience on wine production. Two case studies with data from real vineyards were examined. The results of this study show that software tools using Fuzzy Cognitive Maps could be explored further and problems that arise during the wine production could be prevented by an efficient decision support system. © 2015, IFFCA (Internaitional Fedreation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Wine

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Smooth state feedback stabilization for a class of planar switched nonlinear systems under arbitrary switching

Smooth state feedback stabilization for a class of planar sw...

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World Congress on intelligent Control and automation (WCICA)

作者： Xiangze Lin Shuaiting Huang Chunjiang Qian Shihua Li College of Engineering Nanjing Agricultural University/Jiangsu Key Laboratory for Intelligent Agricultural Equipment Nanjing China Department of Electrical and Computer Engineering University of Texas at San Antonio San Antonio TX USA School of Automation Southeast University Nanjing P. R. China

ISBN: (纸本)9781467384155

Smooth state feedback stabilization for a family of planar switched nonlinear systems is addressed. Based on the approach called adding a power integrator, the task of finding a common Lyapunov function and that of designing state stabilizing feedback laws for the switched nonlinear system whose subsystems may have uncontrollable/unobservable Jacobian linearization are solved simultaneously. Globally asymptotical stabilization of the switched nonlinear system under arbitrary switchings is achieved by the state feedback control. Numerical examples are employed to verify the efficiency of the proposed method.

关键词： Switches State feedback Nonlinear systems Switched systems Lyapunov methods Stability analysis

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Robust Decentralized Control of Interconnected Nonlinear Systems Subject to Uncertainties and Disturbances via Generalized Extended State Observers 34

Robust Decentralized Control of Interconnected Nonlinear Sys...

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第三十四届中国控制会议

作者： ZHANG Chuanlin YANG ning HE Shuaipeng JIA Ruting Shanghai Engineering Research Center of Intelligent Management and Control for Power Process College of Automation EngineeringShanghai University of Electric Power Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Electrical and Computer Engineering Department California State University

ISBN: (纸本)9789881563897

This paper studies the problem of robust decentralized control for a class of large-scale interconnected systems subject to uncertainties and disturbances via a generalized active disturbance rejection control method. First, a novel extended state observer(ESO) is constructed separately for each subsystem with less dependence of the precise system information and structure. Second, an explicit formula of the decentralized active disturbance rejection control(DADRC) law is presented by utilizing the output feedback domination approach. It is shown that by a delicate analysis procedure, the closed-loop system can be rendered semi-globally asymptotically stable only using decentralized output feedback anti-disturbance controller. Numerical simulations show the efficiency of the proposed method.

关键词： output feedback control global stabilization disturbance rejection control extended state observer

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Imaging and mapping individual target proteins on clinical lymphoma cells by AFM 9

Imaging and mapping individual target proteins on clinical l...

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9th IEEE International Conference on Nano/Molecular Medicine and engineering, NANOMED 2015

作者： Li, Mi Liu, Lianqing Xi, Ning Wang, Yuechao Wang, Wenxue State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Department of Electrical and Computer Engineering Michigan State University East LansingMI48824 United States

ISBN: (纸本)9781467396714

The wide applications of atomic force microscopy (AFM) in the past decade have contributed much to the field of cell biology, providing a lot of novel insights into cellular behaviors at the nanoscale. However, current AFM studies are commonly performed on cell lines cultured in vitro which are quite different from the cells in the human body. Directly investigating the physiological activities on tumor cells from clinical patients is of great significance for helping us to better understand the actual cellular activities taking place in the clinical environment. Under the fluorescence recognition of specific tumor cell surface marker, we have used AFM to investigate the binding affinity and nanoscale distributions of CD20 target protein directly on tumor cells prepared from the bone marrow of lymphoma patients. The results provide a new idea to develop closer links between laboratory study and clinical practice, which may have potential impacts on diverse fields such as drug evaluation and efficacy prediction. © 2015 IEEE.

关键词： Atomic force microscopy

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