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3rd International Conference on Industrial Artificial Intelligence, IAI 2021

作者： Sun, Haojie Liu, Jianbang Wang, Jingyang Yang, Zhijia Zou, Tao University of Chinese Academy of Sciences Beijing China Shenyang Institute of Automation Chinese Academy of Sciences Key Laboratory of Networked Control System Shenyang China Guangzhou University School of Mechanical and Electrical Engineering Guangzhou China

ISBN: (纸本)9781665435178

In order to solve the problem of the high sensitivity of conventional double-layer model predictive control (DLMPC) algorithm to the process white noise and disturbance, we proposed an improved strategy integrating the tunnel control, which sacrifices a small part of the economic performance for a more smooth and stable control effect. By selecting an appropriate robust factor, an allowable economic performance zone is determined. The tunnel control strategy is implemented by selecting an appropriate weighting matrix for the output error in the control cost function. When the economic performance index (EPI) of output prediction is inside its zone, the corresponding weight is zeroed. When the EPI of prediction lies outside the performance zone, the error weight is made equal to a specified value and the distance between the output prediction and the ideal steady-state set-point is minimized. Finally, the feasibility and effectiveness of the proposed algorithm are verified by simulating based on the Wood-Berry model. © 2021 IEEE.

关键词： Model predictive control

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Resource allocation scheme based on neural network and group search optimization in cloud environment

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Ruan Jian Xue Bao/Journal of Software 2014年第8期25卷 1858-1873页

作者： Sun, Jia-Jia Wang, Xing-Wei Gao, Cheng-Xi Huang, Min College of Information Science and Engineering Northeastern University Shenyang110819 China Key Laboratory of Networked Control System The Chinese Academy of Sciences Shenyang110016 China

In cloud environment, all kinds of idle resources can be pooled to establish a resource pool, and different kinds of resources can be combined as a service to the users through virtualization. Therefore, an effective scheme is necessary for managing and allocating the resources. In this paper, economic and intelligent methods are employed to form an intelligent resource allocation scheme based on double combinatorial auction with respect to the characteristics of resources in cloud environment. In the proposed scheme, a reputation system on the basis of quality of experience (QoE) is devised, and the reputation attenuation coefficient and the user credit degree are introduced to decrease the negative effects of malicious behaviors on resource auctions, providing QoE support to resource dealing. In order to determine bidding price rationally, a bidding price decision mechanism based on back propagation (BP) neural network is presented to comprehensively consider various influence factors to make price adapt to the fluctuating market. Finally, due to the fact that the problem of winner determination in combinatorial auction is NP-complete, a group search optimization algorithm is adopted to find the specific resource allocation solution with market surplus and total reputation optimized. Simulation studies are conducted to demonstrate the feasibility and effectiveness of the proposed scheme. © Copyright 2014, Institute of Software, the Chinese Academy of Sciences. All rights reserved.

关键词： Resource allocation

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Three Dimensional Path Planning of Snake-Arm Robot Based on Improved Ant Colony Algorithm 12

Three Dimensional Path Planning of Snake-Arm Robot Based on ...

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12th International Conference on CYBER Technology in Automation, control, and Intelligent systems, CYBER 2022

作者： Chen, Xu Jiang, Yong Key Laboratory of Networked Control System Chinese Academy of Sciences Shenyang110016 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

A path planning algorithm based on an improved ant colony algorithm was proposed to solve the path planning problem of snake-arm robots in a structured environment. The heuristic function of the ant colony algorithm is combined with an artificial potential field. Setting up a repulsive force field around the obstacle and an attractive field at the target point, the snake-arm robot is guided to advance from the starting point to the target point while avoiding the obstacle. Chaos disturbance is added to the pheromone update to improve the global search capability of the algorithm. In path optimization, the linear generation algorithm and cubic uniform B-spline curve interpolation algorithm are used to optimize the path globally. © 2022 IEEE.

关键词： Motion planning

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An online identification method for small unmanned helicopter base on TVARMA model

An online identification method for small unmanned helicopte...

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International Conference on Advanced Robotics and Mechatronics (ICARM)

作者： Liu Zun Pei Hai Long laboratory of Autonomous System and Networked Control Ministry of Education South China University of Technology Guangzhou Guangdong CN Key laboratory of Autonomous System and Networked Control Ministry of Education South China University of Technology Guangzhou China

This paper establishes an online identification algorithm which can provide the model status in real time base on TVARMA model for small unmanned helicopter. First, the TVARMA model used for describing the small unmanned helicopter is shown. After that, a recursive algorithm is elaborated to solve the parameters in the TVARMA model. Then a flight experiment data is used to identify the TVARMA model as an example, analysis and compare are made in the end to prove that the TVARMA model is accurate and this identification method is also effective.

关键词： Helicopters Autoregressive processes Data models Rotors Atmospheric modeling Analytical models Heuristic algorithms

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Anomaly Detection Approach based on Function Code Traffic by Using CUSUM Algorithm

Anomaly Detection Approach based on Function Code Traffic by...

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2015 4th National Conference on Electrical,Electronics and Computer Engineering(NCEECE 2015)

作者： Ming Wan Wenli Shang Peng Zeng Shenyang Institute of Automation Chinese Academy of Sciences Key Laboratory of Networked Control System Chinese Academy of Sciences

ISBN: (纸本)9781510819085

There is an increasing consensus that it is necessary to resolve the security issues in today's industrial control system. From this point, this paper proposes an anomaly detection approach based on function code traffic to detect abnormal Modbus/TCP communication behaviors efficiently. Furthermore, this approach analyzes the Modbus/TCP communication packets in depth, and obtains the function code in each packet. According to the function code traffic change, this approach uses the Cumulative Sum(CUSUM) algorithm for change point detection, and generates an alarm. Our simulation results show that, the proposed approach is very available and effective to provide the security for industrial control system. Besides, we also discuss some advantages and drawbacks when using this approach.

关键词： Anomaly detection Modbus/TCP Function code traffic Cumulative sum

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Virtual chain: A storage model supporting cross-blockchain transaction

Virtual chain: A storage model supporting cross-blockchain t...

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作者： Wang, Yan Yang, Bingqing Liu, Jingxin Zeng, Hui Xia, Changqing College of Information Liaoning University Shenyang China State key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control System Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

At present, blockchain is not only applied in the financial field, but also extended to the medical, insurance, internet of things, and many other fields. Its independence leads to more and more significant problems of network isolation. To address the problem of the cooperative operation between different blockchains, this article proposes virtual chain, a storage model supporting cross-blockchain transaction. It not only ensures that cross-chain transactions are tamper-proof and traceable but also realizes completely decentralized storage. First, to tackle the multidimensional heterogeneous problem existing in cross-chain trading, a data structure based on prefix tree is proposed to manage cross-chain trading data on top of source chain and target chain. Second, a signature verification mechanism based on elliptic curve is proposed to meet the operational atomicity requirements of both parties of cross-chain transaction. Third, the data fusion technology is used to expand the block capacity indirectly to achieve the high throughput of cross-chain transactions. Finally, by using the credibility-based access control and block chain technology to ensure the security of the data storage model, and conduct security analysis from three aspects of tamper-proof, data protection and anti-conspiracy node attack. The experiment shows that the proposed cross-chain transaction storage model can realize the efficient storage of the heterogeneous data, and satisfy the high requirement of the cross-chain transaction. Moreover, the virtual chain storage model establishes a safe and reliable working environment. © 2020 John Wiley & Sons Ltd.

关键词： Blockchain

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Study on the Rudder control Law of Bank-to-turn Cruise Missile

Study on the Rudder Control Law of Bank-to-turn Cruise Missi...

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The Society of Instrument and control Engineers Annual Conference 2015

作者： XU Zhaoqing Pei Hailong College of Automation Science and Engineering Ministerial Key Laboratory of Autonomous System and Networked Control South China University of Technology

The rudder control law of certain bank-to-turn cruise missile is studied in this paper. The yaw and roll aerodynamic force caused by grid rudder is analyzed, the aerodynamic force and aerodynamic moment with motion equations are linearized based on the small perturbation linear theory. The beginning state of the cruise is chose as the feature point, the values of dynamical coefficient are calculated, then the lateral perturbation equations are *** transfer functions of each attitude angle under the rudder deflection are obtained through solving the perturbation equations, and then the dynamic step responses of the grid rudder’s are obtained. The lateral rudder control law which can satisfy zero sideslip condition is derived through the dynamic responses, according this control law the missile can achieve bank-to-turn.

关键词： cruise missile bank-to-turn rudder control law

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Aspect-Ratio and Scale Aware Rotated Defect Detection for Fiber-reinforced Composites 5

Aspect-Ratio and Scale Aware Rotated Defect Detection for Fi...

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5th International Conference on Computer Vision, Image and Deep Learning, CVIDL 2024

作者： Xu, Yuanye Liu, Yuanhao University of Chinese Academy of Sciences Key Laboratory of Networked Control System Shenyang Institute of Automation Chinese Academy of Sciences Shenyang Institute of Automation Chinese Acad. of Sci. Institutes for Robotics and Intelligent Mfg. Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9798350373820

Detecting surface defects in carbon fiber-reinforced composites (FRCs) during prepreg stacking is crucial for ensuring product quality. Traditional methods using horizontal bounding boxes (HBBs) for defect detection often lead to overlapping boxes and inaccurate results. This paper proposes an Aspect-Ratio and Scale Aware Detector network (ARSADet) specifically designed for rotated defect detection in FRCs. The network incorporates a Gabor convolutional network for feature extraction, an aspect-ratio and scale-aware label assignment method, and a newly established FRCs Oriented Defect Detection dataset (FODD). Evaluation on the FODD dataset demonstrates superior performance compared to existing methods. © 2024 IEEE.

关键词： Aspect ratio

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VFH∗ Based Local Path Planning for Mobile Robot 2

VFH∗ Based Local Path Planning for Mobile Robot

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2nd China Symposium on Cognitive Computing and Hybrid Intelligence, CCHI 2019

作者： Chen, Wenqiang Wang, Ning Liu, Xiaofeng Yang, Chenguang Key Laboratory of Autonomous System and Networked Control College of Automation Science and Engineering South China University of Technology Guangzhou510640 China Bristol Robotics Laboratory University of the West of England BristolBS16 1QY United Kingdom Changzhou Key Laboratory of Robotics and Intelligent Technology College of Internet of Things Engineering Hohai University Changzhou213022 China

ISBN: (纸本)9781728140919

Vector Field Histogram(VFH) and its variants are effective obstacles avoidance method for mobile robots. Under the more consideration of realistic, we proposed a new local path planning method for mobile robot in this paper. The proposed method takes global path point generated by the A∗ algorithm as temporary target point and adopts the basic concepts of the VFH∗ algorithm, the difference is mainly lies in the representation of vector magnitude of the obstacles, the determination of the threshold, the selection of the candidate direction, and the definition of the node cost function in search tree. Besides, according to the optimal obstacle avoidance direction obtained in the above steps, we also give a speed control method to control the movement of the omnidirectional mobile robot to the target point. Simulation and experiment results shows that the proposed method is suited for mobile robot moving in realistic situation. © 2019 IEEE.

关键词： Mobile robots

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Intelligent Setting control Method Based on CBR and iterative learning for Laminar Cooling Process

Intelligent Setting Control Method Based on CBR and iterativ...

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第26届中国过程控制会议（CPCC2015）

作者： Pian Jinxiang Zhu Yunlong Liu Jinxin Chai Tianyou Qi Aiwei School of Information and Control engineering Shenyang Jianzhu University Key Laboratory of Networked Control System Chinese Academy of Sciences State Key Laboratory of Integrated Automation for Process Industry Northeastern University

The hot rolled strip laminar cooling system is a complex industrial process, associated with features of strong nonlinear and changing operating conditions. So, the process is hard to control with traditional close loop control methods. But fortunately, there is the repeated characteristic in the laminar cooling process, which is very suited to apply the iterative learning between the strips. So, PI iterative learning method is proposed in this paper to learn the inner knowledge between the strips with similar working condition. On the other hand, in order to improve the control effect,CBR(case-based reasoning) technology is applied to adjust the parameters P and I according to the changing working conditions. The experiments are conducted with industrial operating data. The results show that, with the proposed method, it is effective to find the right operating point quickly and the strip coiling temperature can be controlled in the suitable range.

关键词： laminar cooling iterative learning CBR(case based reasoning) strip coiling temperature

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