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第29届中国控制与决策会议

作者： Chuanlin Zhang Pengfei Song Jun Yang Xitong Niu College of Automation Engineering Shanghai University of Electric Power Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University

ISBN: (纸本)9781509046584

The problem of exact regulation control for a class of disturbed higher-order nonlinear systems with unfixe single output and uncontrollable/unobservable linearisations is investigated in this paper.A general composite controller is proposed by integrating the homogeneous domination technique with an observation process of the unmatched *** a recursive design procedure and a delicate way of handling the non-vanishing nonlinearities,it is shown that unmatched disturbances in every channel can be compensated in a series of composite virtual controllers design while any state assigned as the system output can be regulated to exact tracking its desired value.A rigorous Lyapunov function based stability analysis and numerical simulations assure the effectiveness of the proposed strategy.

关键词： Lyapunov Exact regulation for disturbed nonlinear systems with unfixe output and uncontrollable/unobservable linearisations

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Spatial-temporal fusion convolutional neural network for simulated driving behavior recognition

arXiv

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arXiv 2018年

作者： Hu, Yaocong Lu, MingQi Lu, Xiaobo School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China

Abnormal driving behaviour is one of the leading cause of terrible traffic accidents endangering human life. Therefore, study on driving behaviour surveillance has become essential to traffic security and public management. In this paper, we conduct this promising research and employ a two stream CNN framework for video-based driving behaviour recognition, in which spatial stream CNN captures appearance information from still frames, whilst temporal stream CNN captures motion information with pre-computed optical flow displacement between a few adjacent video frames. We investigate different spatial-temporal fusion strategies to combine the intra frame static clues and inter frame dynamic clues for final behaviour recognition. So as to validate the effectiveness of the designed spatial-temporal deep learning based model, we create a simulated driving behaviour dataset, containing 1237 videos with 6 different driving behavior for recognition. Experiment result shows that our proposed method obtains noticeable performance improvements compared to the existing methods. Copyright © 2018, The Authors. All rights reserved.

关键词： Convolution

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Wheat Drought Assessment by Remote Sensing Imagery Using Unmanned Aerial Vehicle

Wheat Drought Assessment by Remote Sensing Imagery Using Unm...

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第37届中国控制会议

作者： Jinya Su Matthew Coombes Cunjia Liu Lei Guo Wen-Hua Chen Department of Aeronautical and Automotive Engineering Loughborough University Key Laboratory of Measurement and Control of Complex Systems of Engineering (Southeast University) Ministry of Education School of Electrical Engineering and Automation Beihang University

This work aims at evaluating the usability of remote sensing RGB imagery by an Unmanned Aerial Vehicle（UAV） in assessing wheat drought status. A UAV survey is conducted to collect high-resolution RGB imageries by using DJI S1000 for the experimental wheat fields of Gucheng town, Heibei Province, China. The soil moisture for different plots of the experimental filed is kept at an approximately constant level for the whole growing season in a well controlled environment, where field measurements are performed just after the UAV survey to obtain the soil water content for each plot. A machine learning based wheat drought assessment framework is proposed in this work. In the proposed framework, wheat pixels are first segmented from the soil background using the classical normalized excess green index（NEx G）. Rather than using pixel-wise classification,a pixel square of appropriate dimension is defined as the samples, based on which various features are extracted for the wheat pixels including statistical features and spectral index features. Different classification algorithms are experimented to identify a suitable one in terms of classification accuracy and computation time. It is discovered that Support Vector Machine with Gaussian kernel can obtain an accuracy over 90%, which demonstrates the usefulness of RGB imagery in wheat drought assessment.

关键词： Classification Remote sensing UAV imagery Wheat drought

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Event Based Robust Consensus for Multi-Agent systems via Sliding-Mode control

Event Based Robust Consensus for Multi-Agent Systems via Sli...

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第30届中国控制与决策会议

作者： Kun Li Bo-Chao Zheng Ju H.Park CICAEET School of Information and Control Nanjing University of Information Science and Technology Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of AutomationSoutheast University Department of Electrical Engineering Yeungnam University

This paper investigates the robust consensus for a class of uncertain linear multi-agent systems. In order to reduce the controller update frequency and the communication load of the network, a consensus algorithm based on event-triggered strategy is proposed and each triggering condition is established using measurement error of each *** the impacts of event-triggered strategy and external disturbances, the event-based sliding mode controller is introduced in this paper, which ensures the sliding-mode bands can be reached in finite time and the aim of robust consensus is achieved. Numerical simulation verifies the effectiveness of the proposed method.

关键词： Sliding-mode control(SMC) robust consensus multi-agent systems event trigger

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Co-design of event generator and synchronous controller for chaotic neural networks with quantization

Co-design of event generator and synchronous controller for ...

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Chinese control Conference

作者： Liuwen Li Wenlin Zou Shumin Fei Yushun Tan Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing School of Automation Southeast University Nanjing

This paper studies co-design of event generator and synchronous controller for chaotic neural networks with quantization. A quantized event-triggered scheme is presented to reduce the load of network transmission. Sufficient stabilization conditions for synchronization error system are derived on the basis of Lyapunov-Krasovskii functional. Based on the above stability condition, a co-designed parameters of controller and the corresponding event-triggered parameters are obtained. Finally, a numerical example is employed to illustrate the effectiveness of the proposed control method.

关键词： Quantization (signal) Biological neural networks Synchronization Generators Neurons Electronic mail Chaotic communication

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DC-DC Buck-Boost Converters with Unknown CPL: An Adaptive PBC

DC-DC Buck-Boost Converters with Unknown CPL: An Adaptive PB...

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2018 Annual American control Conference, ACC 2018

作者： He, Wei Abraham Soriano-Rangel, Carlos Ortega, Romeo Astolfi, Alessandro Mancilla-David, Fernando Li, Shihua Ministry of Education School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Nanjing210096 China University of Colorado Denver Department of Electrical Engineering Denver United States Laboratoire des Signaux et Systemes Supelec Plateau du Moulon Gif-sur-Yvette91192 France Department of Electrical and Electronic Engineering Imperial College London LondonSW72AZ United Kingdom

ISBN: (纸本)9781538654286

We develop in this paper an adaptive passivity-based controller for output voltage regulation of DC-DC buck-boost converter with unknown constant power load. This control problem is theoretically challenging since the average model of the converter is a bilinear second order system that, due to the presence of the constant power load, is non-minimum phase with respect to both states. A solution to the problem was recently reported in [9], however, the resulting control law is extremely complicated to be of practical interest. The aim of the paper is to design a novel, significantly simpler, controller that can be easily implemented in applications. The key modifications introduced in the new design are the use of a change of coordinates and a partial linearization that transform this system into a cascade form, to which an adaptive energy-shaping controller is applied. Another merit of the designed control law, besides its simplicity, lies in that it is amenable for the addition of an outer-loop PI that improves its transient and disturbance rejection performances. Simulations and experimental results are provided to assess the improved performance of the proposed controller. © 2018 AACC.

关键词： Mathematical model Load modeling Asymptotic stability Voltage control Adaptation models Adaptive systems Stability analysis"

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Spherical Formation Enclosing control for Second-Order Agents with An Unknown Target 36

Spherical Formation Enclosing Control for Second-Order Agent...

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第36届中国控制会议

作者： CHEN Yang-Yang DONG Yi LIN Tailai SUN Hao ZHA Junyu School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University School of Automation Nanjing University of Science and Technology

ISBN: (纸本)9781538629185

This paper deals with the cooperative control problem for second-order agents formation circling along meridian and parallel on a given sphere centered at a target of interest,where the direction of the target's movement is known to each agent but the target's speed is *** using local measurements of relative position,a novel distributed solution is proposed by separatively designing each agent's control input projected onto the spherical normal vector,the direction of spherical meridian and parallel.A second-order coordinated adaptive upgrade law is given to estimate the given target's speed by using adaptive backstepping and ***,a potential function is introduced to avoid the undefined angle coming from the trajectory between the poles of *** theoretical result is proved by the numerical simulation.

关键词： Spherical Formation Enclosing Coordinated Adaptive Estimation Potential Function

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Co-design of event generator and synchronous controller for chaotic neural networks with quantization

Co-design of event generator and synchronous controller for ...

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第37届中国控制会议

作者： Liuwen Li Wenlin Zou Shumin Fei Yushun Tan School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University School of Information Engineering Nanjing Xiaozhuang University School of Computer Science and Engineering Nanjing University of Science and Technology

This paper studies co-design of event generator and synchronous controller for chaotic neural networks with quantization. A quantized event-triggered scheme is presented to reduce the load of network transmission. Sufficient stabilization conditions for synchronization error system are derived on the basis of Lyapunov-Krasovskii *** on the above stability condition, a co-designed parameters of controller and the corresponding event-triggered parameters are obtained. Finally, a numerical example is employed to illustrate the effectiveness of the proposed control method.

关键词： Synchronization Event generator Chaotic neural networks Quantization

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Event-driven synchronization of Lur’e system subject to cyber attack

Event-driven synchronization of Lur’e system subject to cyb...

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第37届中国控制会议

作者： Liuwen Li Wenlin Zou Jie Cao Yushun Tan Shumin Fei School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University School of Information Engineering Nanjing Xiaozhuang University School of Computer Science and Engineering Nanjing University of Science and Technology

This paper studies event-driven synchronization control problem for chaotic Lur’e system with cyber ***,In order to save network bandwidth resources,the event-driven scheme is employed to determine whether the sampled state should be transmitted to the ***,a synchronization error model is designed to describe the master-slave synchronization system with event-driven scheme and cyber ***,based on Lyapunov functional approach,sufficient conditions for stabilization are derived which can ensure synchronization of the master system and slave system;particularly,a co-designed approach of controller and the event-driven matrix is obtained using the above stability ***,a numerical example is presented to illustrate the effectiveness of the proposed approach.

关键词： synchronization event-driven scheme cyber attack Lur’e system

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Event-driven synchronization of chaotic neural networks subject to actuator saturation

Event-driven synchronization of chaotic neural networks subj...

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第37届中国控制会议

作者： Liuwen Li Wenlin Zou Jie Cao Shumin Fei Yushun Tan School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University School of Information Engineering Nanjing Xiaozhuang University School of Computer Science and Engineering Nanjing University of Science and Technology

This paper discusses event-driven synchronization control problem for chaotic neural networks subject to actuator saturation. Firstly, in order to reduce the load of network, the event-driven scheme is introduced to determine whether the sampled state should be sent to the controller. Secondly, a synchronization error model is constructed to describe the master-slave synchronization system with event-driven scheme and actuator saturation in a unified ***, based on Lyapunov-Krasovskii functional, sufficient conditions for stabilization are obtained which can ensure synchronization of the master system and slave system;particularly, co-design of controller and the event-triggered matrix is achieved based on the above stability condition. Lastly, a numerical example is presented to show the effectiveness of the proposed approach.

关键词： synchronization event-driven scheme neural networks actuator saturation

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