Shenyang Institute of Automation,Chinese Academy Of Sciences
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Distributed Secure State Estimation for Cyber-Physical Systems Against Replay Attacks via Multisensor Method
No full textThis article investigates the distributed secure state estimation problem for cyber-physical systems under replay attacks. The main purpose is to design the distributed observers such that the estimation error system is stable. First, a detection algorithm is proposed to not only expose the behavior of the attacker but also identify which sensor is tampered. Then, the distributed observers are designed and the adverse effects are eliminated. Moreover, in view of the linear matrix inequality technique, a sufficient condition is presented, which ensures that the estimation error system is stable and achieves an property. Finally, a practical inverted pendulum example is employed to elaborate the effectiveness and superiority of the presented design and detection method
Furnace-Grouping Problem Modeling and Multi-Objective Optimization for Special Aluminum
No full textIn special aluminum alloy production, smelting for aluminum ingots is the first process that affects production efficiency and product quality in subsequent processes directly. There exists two problems that charging plans cannot be made efficiently and furnace-grouping results are not optimal in the smelting process due to product variety and difference of batch size. To solve them, a furnace-grouping optimization model is established. The furnace-grouping problem is formulated with two objectives of minimizing the number of charging plans and the percentage of scrap metal with some constraints such as capacity of melting furnace and ingot-grouping rules in this model. According to the feature of this model, real number coding rule is employed that takes the percentage of order allocation as decision variable. A specialized multi-objective approach combining multi-swarm cooperative artificial bee colony is proposed to solve this optimization model. Decomposition strategy and multi-swarm strategy with information learning is employed to improve optimizing ability of the algorithm. The simulation experiment is designed on the basis of the truthful data of special aluminum alloy production. The numerical results demonstrate that this optimization model meets the requirements of manufacturing enterprises and the proposed algorithm is a powerful search and optimization technique for the furnace-grouping problem of special aluminum ingots
试论新经济形势下行政事业单位财务管理创新
No full text在互联网、大数据的新经济形势背景下,行政事业单位财务管理工作在工作模式方面发生着巨大的变革,其在提高行政事业单位财政管理效率的同时,也对行政事业单位财务人员配备及管理模式创新提出了新的要求.本文通过对新经济形势下行政事业单位财务管理现状进行分析的基础上,提出了强化行政事业单位财务管理创新的措施.</p
A non-rigid dynamic scene reconstruction method based on surface element model
No full textThe simultaneous representation of scene target geometric deformation and motion is a key problem for nonrigid dynamic scene reconstruction, and the occurrence of occlusion, opening and closing topological changes, and fast motion may lead to scene reconstruction failure. To address this problem, a non-rigid dynamic scene reconstruction method based on the surface element model is proposed to improve the process of solving the ICP energy function in the non-rigid deformation field estimation of existing systems using the depth camera point-to-plane ICP algorithm based on the weight algorithm. Compared with the reconstruction method based on the SDF model, the surface element model-based method supports online efficient updates, takes up less computational resources and is more lightweight. Comparative experiments on the VolumeDeform dataset show that the improved method improves the robustness of the system and the reconstructed model is more complete
An orthogonal calibration method for the multi-core fiber shape sensor
No full textThe multi-fiber shape sensor has important application value due to its high precision and anti- interference. The installation error of core fiber affects the measurement accuracy of the sensor but there is no universal calibration method in present sensor application. In this paper, an orthogonal calibration method is proposed to get the position parameters of each optical fiber. Based the calibration parameters, the shape measured can be reconstructed. Through digital simulation and sensor experiments, the measurement error of the multi-fiber shape sensor can be reduced to 1% of the traditional method
Deformation control method based on reaction current for soft pneumatic actuator actuated by electrochemical reactions
No full textDeformation control is a key problem to soft pneumatic actuators. The existing deformation control methods are mostly based on pressure sensors and shape detection technologies, which make soft pneumatic actuators need complex structures and fabrication processes. Based on the soft pneumatic actuator we designed actuated by electrochemical reactions on a reversible proton exchange membrane fuel cell (RPEMFC) structure, we developed a deformation control method based on reaction current. With the deformation control method, the designed soft pneumatic actuator can be accurately controlled to deform to desired angles without complex structures and control system
Fully Automated Control System for Recovery of Fixed-wing UAV
No full textSafe released and recovery is a key point for fixed-wing UAV shipborne application in the deep sea. However, most of the current ways of release and recovery depend on people's assistance, which limits the efficiency of the UAV application, especially for the swarm application. Focusing on this problem, a fully automated shipborne released and recovery system is proposed for recycling deployment of fixed-wing UAV in this paper. An active flexible arresting system is first designed to compensate the roll-pitch swing of the USV deck, at the same time to track the altitude of the UAV for improving the success rate of recovery. Besides that, combined robotic arm and catapult a release system is designed to achieve fully automated release of the UAV. Experiments under different conditions are conducted to analyze the performance and verify the feasibility of the proposed system
Switch supporting heterogeneous network time synchronization delay compensation
No full text本发明涉及网络通信系统，具体地说是一种支持异构网络时间同步时延补偿的交换机。包括：网络接口单元、时间戳记录单元、报文类型判断单元、时间戳提取单元、时延补偿计算单元、修正域修改单元和报文处理单元。通过本发明交换机，实现PTP设备的无线通信链路的时延补偿，进而实现有线网络和无线网络等异构网络的高精度时间同步
Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System
No full textThe performance of decomposition-based algorithms is sensitive to the Pareto front shapes since their reference vectors preset in advance are not always adaptable to various problem characteristics with no a priori knowledge. For this issue, this article proposes an adaptive reference vector reinforcement learning (RVRL) approach to decomposition-based algorithms for industrial copper burdening optimization. The proposed approach involves two main operations, that is: 1) a reinforcement learning (RL) operation and 2) a reference point sampling operation. Given the fact that the states of reference vectors interact with the landscape environment (quite often), the RL operation treats the reference vector adaption process as an RL task, where each reference vector learns from the environmental feedback and selects optimal actions for gradually fitting the problem characteristics. Accordingly, the reference point sampling operation uses estimation-of-distribution learning models to sample new reference points. Finally, the resultant algorithm is applied to handle the proposed industrial copper burdening problem. For this problem, an adaptive penalty function and a soft constraint-based relaxing approach are used to handle complex constraints. Experimental results on both benchmark problems and real-world instances verify the competitiveness and effectiveness of the proposed algorithm
A calculation approach for shock layer radiation and transmittance towards hypersonic infrared homing vehicle
No full textIn order to study the optical transmission and radiation characteristics in a hypersonic shock layers over infrared optical window, an approximation calculation approach is proposed. With this method, the formal solution for shock layer radiative transport equation is derived considering both target signature and windows thermal radiance. Consequently, the transmissivity of heating shock layer can be expressed quantitatively, which shows that the shock layer is optically thick in the 4∼4.5μm band mainly. Besides, the radiance flux density of shock layer is calculated when temperature is 800K, pressure is 7atm and thickness is 1cm. Shock layer radiance is found to be larger in the mid-wave infrared band compared with long-wave infrared band and short-wave infrared band