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IEEE International Conference on Unmanned systems (ICUS)

作者： Kang Wang Jiajia Zhao Yang Wang Shuigeng Zhou Shanghai Key Lab of Intelligent Information Processing and School of Computer Science Fudan University Shanghai China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Electro-Mechanical Engineer Institute Beijing China School of Information Engineering Nanchang University China

ISBN: (纸本)9781728137933

Recent object detection models have achieved satisfactory performance by deep learning with large-scale annotated datasets. However, these models often perform poorly when the training examples are not sufficient enough, especially for one-shot object detection where there is only one training example of each target class. In this paper, we propose a network parameter generation framework for effective one-shot object detection. By leveraging the semantic relationship between the source-domain and the target-domain (new classes), our framework can generate network parameters for the new classes directly. Furthermore, we develop two implementation schemes for this framework: weighting-based parameter generation and regression-based parameter generation. These two schemes use different information to construct the relationship and transfer knowledge from the source-domain to the target-domain. Experiments on the PASCAL-OSCD benchmark show that our methods can significantly boost the performance of one-shot object detection.

关键词： Object detection Detectors Head Training Feature extraction Task analysis Training data

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Assessment and prediction of leakage degree of expansion joints in underground network heating pipe network based on LS-SVM and ARIMA model 13

Assessment and prediction of leakage degree of expansion joi...

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13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018

作者： Shang-Bin, Jiao Le, Fan Peng-Yue, Wu Lei, Qiao Yong-Ze, Jin Qian-Kun, Shen Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an710048 China Xi'an Thermal Power Research Institute Co. Ltd Xi'an710054 China

ISBN: (纸本)9781538637579

The study shows that the leakage of the expansion joints in the underground heating primary pipe network will lead to the fluctuation of soil temperature and conductivity around the leakage point. Based on the online monitoring of changes of physical quantities around the expansion joint, this paper established the assessment model of temperature and conductivity as the input parameters and the degree of expansion joints leakage as the output parameters, which took the radial basis function as kernel function and made use of PSO algorithm to achieve the optimization of the kernel function parameters. Then, the temperature and conductivity were predicted based on the ARIMA model, and the LS-SVM assessment of expansion joint leakage was realized according to the prediction results. Both simulation and field experiments show that the prediction model based on ARIMA has higher accuracy, which has identified the foundation for on-line prediction and accurate assessment of the expansion joint leakage in the underground heating primary pipe network. © 2018 IEEE.

关键词： Particle swarm optimization (PSO)

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Stochastic stability of evolutionary prisoner's dilemma

Stochastic stability of evolutionary prisoner's dilemma

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2018 Australian and New Zealand control Conference, ANZCC 2018

作者： Liang, Haili Zhou, Zhao Zhang, Fan Peng, Chen Wang, Yu-Long Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Mathematics Southeast University Nanjing China

ISBN: (纸本)9781538666173

In this paper, we study two-player evolutionary prisoner's dilemma on regular graphs and identify the stochastically stable equilibria for infinite populations. We consider four different update rules: Birth-death(BD), death-birth(DB), imitation(IM) and pairwise comparison(PC). With the same values of cost and benefit of cooperation, we show that there is a unique stochastically stable equilibrium for evolutionary prisoner's dilemma on regular graphs. If the benefit-to-cost ratio is larger than k + 2 (k is the degree of a regular graph), the networked game has a higher fraction of cooperators than that for a well-mixed population. Under certain conditions, the lower graph connectivity can lead to the emergence of more cooperators. Besides theoretical analysis, we demonstrate our results through numerical computations and simulations as well. © 2018 IEEE.

关键词： Stochastic systems

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Multi-robot distributed cooperative monitoring of mobile targets 3rd

Multi-robot distributed cooperative monitoring of mobile tar...

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3rd International Conference on Intelligence Science, ICIS 2018

作者： Jiang, J.Q. Xin, B. Dou, L.H. Ding, Y.L. School of Automation Beijing Institute of Technology Beijing100081 China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing100081 China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9783030013127

Cooperative monitoring targets of mobile robots is of great importance in military, civil, and medical applications. In order to achieve multi-robot coordinated monitoring, this paper proposes a new distributed path planning algorithm. In this algorithm, a method of dynamic sequential decision making is used firstly to determine which robots should be moved to the neighbourhoods of the target path. A distributed cooperative path planning algorithm is then proposed in which the robots can only utilize their local information to make the joint monitoring areas of robots cover the target path. To reduce the chance of detection and ensure enough time to implement monitoring handover, our distributed algorithm can guarantee enough overlapped monitoring areas between adjacent robots. The effectiveness of the algorithm was verified by simulation experiments and a comparison experiment in typical scenarios. © IFIP International Federation for Information Processing 2018.

关键词： Monitoring

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Event-Trigger Extended Kalman Filter Design for Distributed Generation Network with Limited Communication 36

Event-Trigger Extended Kalman Filter Design for Distributed ...

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第36届中国控制会议

作者： Xing Xin Luyu Li Sen Li Zhen Li Jian Li Zhen Chen Xiangdong Liu Beijing Institute of Electronic System Engineering School of Automation & Key Laboratory for Intelligent Control & Decision on Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781538629185

For distributed generation(DG) network, it is important to estimate the real-time states. The information-centric networking(ICN) is established to take charge of the communication of DG network. However, the assumption of ideal communication between sensors and the estimation center cannot be guaranteed due to the communication constraints of ICN with the increasing DG network. A conventional algorithm, which reduces the communication burden in ICN, is to drop the observation of each smart grid in a random way. However, the accuracy of this algorithm recession decays rapidly with the increasing drop rate. To guarantee an appropriate estimation accuracy when the drop rate increases, this paper introduces the event-trigger strategy into the estimation algorithm. An event-trigger extended kalman filter(ET-EKF) is established in this paper to adapt the nonlinearity of DG system. ET-EKF reduces the communication burden and achieves an appropriate estimation accuracy at the same time. Finally, its feasibility and performance are demonstrated using the standard IEEE 39-bus system with phasor measurement units(PMUs).

关键词： Event-trigger extended Kalman filter(ET-EKF) real-time estimation distributed generation network smart grids phasor measurement unit(PMU)

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Backstepping sliding mode control for Mars Entry with finite time convergence 36

Backstepping sliding mode control for Mars Entry with finite...

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第36届中国控制会议

作者： Ganghui Shen Yuanqing Xia Dailiang Ma Jinhui Zhang Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

ISBN: (纸本)9781538629185

There are usually large uncertainties in the aerodynamic parameters of Mars entry vehicles,which inevitably degrades the performance of entry guidance *** paper presents a backstepping sliding mode controller for drag tracking in Mars entry guidance,which can guarantee the tracking error with finite-time ***,the drag can track the reference trajectory under the virtual control law by introducing a sliding manifold,and the extended state observer（ESO） is used to estimate and counteract the ***,the finite-time convergence of drag tracking error can be achieved under the proposed backstepping sliding mode guidance *** addition,the rigorous proof of tracking error convergence is ***,numerical simulation results are presented to demonstrate the effectiveness of the proposed guidance law.

关键词： Backstepping Sliding mode control Finite time Mars entry

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Adaptive Optimal control Based on Parameter Estimation for Servomechanisms

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IFAC-PapersOnLine 2017年第1期50卷 7064-7069页

作者： Zhang C. Gan M. Chen J. Chen C. Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China

In this paper, an adaptive optimal control scheme based on parameter estimation is proposed for optimal control problem of servomechanisms with unknown parameters. Parameters of the servomechanism dynamics are identified online first. Based on parameter estimation, the optimal control policy is achieved through adaptive dynamic *** estimation removes an approximation structure from the original method. Therefore the number of unknown weights in approximation structures, to be calculated, is reduced. The analysis for convergence is presented to prove the validity. Finally, simulation results demonstrate that the scheme can approximate the optimal control policy rapidly and effectively. © 2017

关键词： adaptive dynamic programming optimal control,parameter estimation servomechanism

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Multi-delay network based IEEE 802.15.4 for low delay deterministic networked control systems 36

Multi-delay network based IEEE 802.15.4 for low delay determ...

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第36届中国控制会议

作者： Aopeng Song Yuanqing Xia Yufeng Zhan Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

ISBN: (纸本)9781538629185

Wireless networked control systems have gained significant popularity due to commissioning and maintenance *** 802.15.4 standard is one of wireless communication protocol for low delay deterministic *** automation,not only needs low delay but also requires the network that should has the capacity of various delay *** this paper,we propose a scheme,satisfying the muli-delay network in the networked control *** are using TI SmartRF04 EB evaluation boards with CC2530 SoC and TIMAC software stack CC2530 boards,as well as dc servo motors for a speed tracking control problem.

关键词： wireless communication IEEE 802.15.4 control system multi-delay

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An Early Forest Fire Detection Method Based on Unmanned Aerial Vehicle Vision

An Early Forest Fire Detection Method Based on Unmanned Aeri...

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第30届中国控制与决策会议

作者： Sha Ma Youmin Zhang Jing Xin Yingmin Yi Ding Liu Han Liu Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology

Traditional forest fire detection methods based on flame are subject to detection delays due to the later appearrance of flame than smoke. When the flame is detected, the fire might have already been spread and out of ***, the objective of this paper is to study new fire detection method based on smoke. First a quadrotor unmanned aerial vehicle(UAV) is adopted to capture the fire video;then the collected video sequence will be processed by a series of preprocessing including filtering and image enhancement;finally a new significance detection algorithm is investigated for early and efficient smoke detection. Experimental results show that the algorithm can detect smoke effectively.

关键词： UAV vision Fire smoke Fire detection Significance detection algorithm

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Fractional-Order Impedance control for a Wheel-Legged Robot 29

Fractional-Order Impedance Control for a Wheel-Legged Robot

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第29届中国控制与决策会议

作者： Yinghui Chen Jiangbo Zhao Junzheng Wang Duoyang Li Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

ISBN: (纸本)9781509046584

To make robots walk smoothly and stably,it is necessary to solve ground impacts during dynamic *** motion control can help to reduce the impacts and improve the robot's adaptability to complex *** control is a useful framework to provide robot's leg *** conventional impedance control employs second-order mass-damping-spring system as a force disturbance *** this paper,position-based impedance control is applied to legged locomotion of the wheel-legged robot and a novel impedance controller with fractional order form is put forward to increase the system degrees of freedom for *** simulation tests of electric cylinder actuator and leg systems are carried out to demonstrate the effectiveness of the proposed algorithm.

关键词： wheel-legged robot legged locomotion impedance control fractional-order

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