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An Effective Method for Forest Fire Smoke Detection

Journal of Physics: Conference Series 2019年第5期1187卷 052045-052045页

作者： Qin, Luxing Wu, Xuehui Cao, Yichao Lu, Xiaobo School of Automation Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China

This paper focuses on smoke detection in forest environments. In this paper, dark channel prior and OTSU based multi-threshold are used to find the disturbances such as sky and haze. These regions are blocked to redu.e false alarm rate. A motion detection method based on frame difference is adapted to find the motion objects. Color moments, HOG and LBP are chosen as features of smoke and SVM is used as the classification. To redu.e more false alarms, the motion regions are classified for several consecutive frames. They won’t be regarded as smoke regions unless M frames of them are classified as smoke ones. Experiment results showed that the proposed method can detect smoke in video effectively and work real-timely.

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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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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 redu.e 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 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 redu.e 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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Cooperative control of multiple agents with unknown high-frequency gain signs under unbalanced and switching topologies

arXiv

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arXiv 2018年

作者： Wang, Qingling Psillakis, Haris E. Sun, Changyin School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China School of Electrical and Computer Engineering National Technical University of Athens Athens15780 Greece

Existing results on cooperative control of multiagent systems with unknown control directions require that the underlying topology is either fixed with a strongly connected graph or switching between different strongly connected graphs. Furthermore, in most cases the graph is assumed to be balanced. This paper proposes a new class of nonlinear PI based algorithms to relax these requirements and allow for unbalanced and switching topologies having a jointly strongly connected basis. This is made possible for single-integrator (SI) and double-integrator (DI) agents with non-identical unknown control directions by a suitable selection of the distributed nonlinear PI functions. Moreover, as a special case, the proposed algorithms are applied to strongly connected and fixed graphs. Finally, simulation examples are given to show the validity of our theoretical results. Copyright © 2018, The Authors. All rights reserved.

关键词： Multi agent systems

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Nonlinear L2 disturbance attenuation control design of UPFC for power flow control 29

Nonlinear L2 disturbance attenuation control design of UPFC ...

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第29届中国控制与决策会议

作者： Xingyu Lv Bangjun Lei Shumin Fei Office of Educational Administration Guizhou Institute of Technology School of Electrical and Information Engineering Guizhou Institute of Technology Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of AutomationSoutheast University

ISBN: (纸本)9781509046584

A nonhnear L disturbance attenuation control（DAC） of unified power flow controller（UPFC） is investigated in power system by using Hamiltonian function ***,the dissipative Hamiltonian structure of the UPFC system is established by means of variable ***,based on the obtained dissipative Hamiltonian structure,a nonhnear L DAC is put *** results on the two-area four-machine power system demonstrate the effectiveness and robustness of the nonhnear L DAC in comparison with that of direct feedback linearization control（DFLC） and add-On self-tuning（ST） control and PI *** research results show that the nonhnear L DAC has better performance than the other controls.

关键词： UPFC uncertain nonlinear dynamical system Hamiltonian function method nonlinear L2 DAC

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Nonlinear Robust control Design for Static Synchronous Compensator 29

Nonlinear Robust Control Design for Static Synchronous Compe...

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第29届中国控制与决策会议

ISBN: (纸本)9781509046584

This article proposes a nonhnear robust control design for Static Synchronous Compensator(STATCOM) to improve stability and oscillation damping of power *** the parameter deviations,external disturbances and unmodeled dynamics,the nonhnear dynamic model of STATCOM can be translated into a Hamiltonian structure by means of coordinate *** on the Hamiltonian structure of STATCOM,a nonhnear robust(NR) control is designed for *** simulation results on the two-area four-machine power system demonstrate the robustness and effectiveness of the proposed NR control in comparison with the feedback linearization(FL) *** comparative study results indicate that the NR control has better performance than the FL control.

关键词： STATCOM Nonlinear Robust control Hamiltonian Function Method Asymptotic Stability

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Semi-Global Stabilization via Homogeneous Output Feedback for a Class of Nonlinear Time-Delay systems

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Journal of systems Science & complexity 2016年第6期29卷 1538-1552页

作者： WANG Pan CHAI Lin FEI Shumin Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University

The semi-global stabilization problem for a class of nonlinear systems with state time-delay is addressed in this paper. By using Lyapunov-Krasovskii functional method and homogeneous dom- ination approach, a homogeneous observer and an output feedback controller with a scaling gain are designed. Then the sealing gain is adjusted such that the closed-loop system is semi-global asymptoti- cally stable. A numerical example is presented to illustrate the effectiveness of the obtained results in this paper.

关键词： Homogeneous domination approach Lyapunov-Krasovskii functional nonlinear time-delay systems output feedback semi-global.

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Nonlinear robust control design for SSSC to improve damping oscillations and transient stability of power system 36

Nonlinear robust control design for SSSC to improve damping ...

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第36届中国控制会议

作者： Bangjun Lei Xiang Wu Shumin Fei Key Laboratory of power big data of Guizhou Province College of Electrical and Information EngineeringGuizhou Institute of Technology School of Mathematical Sciences Guizhou Normal University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of AutomationSoutheast University

ISBN: (纸本)9781538629185

In this article, a nonlinear robust（NR） control is designed for static synchronous series compensator（SSSC） to improve transient stability and oscillation damping of power system. By taking the parameter deviations, external disturbances and unmodeled dynamics into account, the nonlinear dynamic model of SSSC can be changed into a Hamiltonian structure with the help of coordinate transformation. Based on the Hamiltonian structure of SSSC, a nonlinear robust control is designed for SSSC. Numerical simulation results on the two-area four-machine power system demonstrate the robustness and effectiveness of the proposed nonlinear robust control in comparison with the direct feedback linearization（FL） control. The study results show that the nonlinear robust control has better performance than the FL control.

关键词： SSSC nonlinear robust control Hamiltonian function method oscillations damping transient stability

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Mask-aware networks for crowd counting

arXiv

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arXiv 2018年

作者： Jiang, Shengqin Lu, Xiaobo Lei, Yinjie Liu, Lingqiao School of Computer Science University of Adelaide AdelaideSA5005 Australia Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China School of Automatic Southeast University Nanjing210096 China Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China College of Electronics and Information Engineering Sichuan University Chengdu610064 China School of Computer Science University of Adelaide AdelaideSA5005 Australia

Crowd counting problem aims to count the number of objects within an image or a frame in the videos and is usually solved by estimating the density map generated from the object location annotations. The values in the density map, by nature, take two possible states: zero indicating no object around, a non-zero value indicating the existence of objects and the value denoting the local object density. In contrast to traditional methods which do not differentiate the density prediction of these two states, we propose to use a dedicated network branch to predict the object/non-object mask and then combine its prediction with the input image to produce the density map. Our rationale is that the mask prediction could be better modeled as a binary segmentation problem and the difficulty of estimating the density could be redu.ed if the mask is known. A key to the proposed scheme is the strategy of incorporating the mask prediction into the density map estimator. To this end, we study five possible solutions, and via analysis and experimental validation we identify the most effective one. Through extensive experiments on five public datasets, we demonstrate the superior performance of the proposed approach over the baselines and show that our network could achieve the state-of-the-art performance. Copyright © 2018, The Authors. All rights reserved.

关键词： Forecasting

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