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2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

作者： QUN-FENG ZHANG YU-TING JIANG ZHI-QIANG LI Key Lab.of Machine Learning and Computational Intelligence College of Mathematics and Computer Scie Industrial and commercial college Heibei University Baoding 071002 China Hebei Information Engineering School Baoding 071000 China

Knowledge reduction in decision table is important in both theory and application, and it outputs a minimal algorithm as a result. Set of the samples fitting the minimal algorithm is a concept over the set of all possible instances. But in unfamiliar environment, decision table is obtained randomly. So the obtained concept is an approximation to a potential target concept. We discuss the model of this concept learning, sample complexity of its hypothesis space and PAC-learnability of its target concept class.

关键词： Rough Set Concept Learning Sample Complezity PAC-Learnability

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Adaptive backstepping control of multi-model switching for the hydraulic servo position system of a rolling mill

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing 2012年第11期34卷 1346-1351页

作者： Shao, Peng-Zhen Fang, Yi-Ming Wang, Wen-Bin Jiao, Zong-Xia Hebei Key Lab. of Industrial Computer Control Engineering Yanshan University Qinhuangdao 066004 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China

To deal with the structure jumping problem resulting from elastic load force and external load force jumping in different working conditions, an adaptive backstepping control method of multi-model switching was presented based on the common Lyapunov function method and the adaptive backstepping method. This approach combines the features of adaptive backstepping control and the design requirements of a common Lyapunov function, and the adaptive controller for every sub-system and the parameter adaptive estimators for the uncertainty upper bound are designed by backstepping control, then taking the Lyapunov function designed by backstepping as a common Lyapunov function to ensure that the system is asymptotically stable under arbitrary switching. It is easy to select the common Lyapunov function by the combination of backstepping and the common Lyapunov function method, and the problem of parameter jumping and parameter slow time-varying existing at the same time is solved. Simulation results demonstrate that the designed controllers can ensure not only good dynamic and static performance for the hydraulic servo position system of a rolling mill, but also good robustness for the system parameter jumping and parameter slow time-varying.

关键词： Backstepping

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Distributed Time Synchronization under Bounded Noise in Wireless Sensor Networks

Distributed Time Synchronization under Bounded Noise in Wire...

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IEEE Annual Conference on Decision and control

作者： Jianping He Xiaoming Duan Peng Cheng Ling Shi Lin Cai The State Key Lab. of Industrial Control Technology Zhejiang University China The Department of Electric and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong The Department of Electrical & Computer Engineering at the University of Victoria BC Canada

ISBN: (纸本)9781467360890

It is important and challenging to achieve accurate time synchronization in wireless sensor networks. Various noises, e.g., communication delay, clock fluctuation and measurement errors, are inevitable and hard to be estimated accurately, which is the main challenge for achieving an accurate time synchronization. In this paper, we focus on how to achieve accurate time synchronization by considering a practical noise model, bounded noise, which may not satisfy any known distributions. The principle that a bounded monotonic sequence must possess a limit and the concept of maximum consensus are exploited to design a novel time synchronization algorithm for the network to achieve accurate synchronization under bounded noise. The proposed algorithm is fully distributed, with high synchronization accuracy and fast convergence speed, and is able to compensate both clock skew and offset simultaneously. Moreover, we prove that the algorithm converges with probability one, which means that time synchronization is achieved completely, and the probability of the complete synchronization converges exponentially.

关键词： Synchronization Noise Estimation Accuracy Clocks Protocols Wireless sensor networks

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Open-closed-loop iterative learning control for a class of nonlinear systems with random data dropouts

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IOP Conference Series: Materials Science and engineering 2018年第1期359卷

作者： X Y Cheng H B Wang Y L Jia YH Dong The Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

In this paper, an open-closed-loop iterative learning control (ILC) algorithm is constructed for a class of nonlinear systems subjecting to random data dropouts. The ILC algorithm is implemented by a networked control system (NCS), where only the off-line data is transmitted by network while the real-time data is delivered in the point-to-point way. Thus, there are two controllers rather than one in the control system, which makes better use of the saved and current information and thereby improves the performance achieved by open-loop control alone. During the transfer of off-line data between the nonlinear plant and the remote controller data dropout occurs randomly and the data dropout rate is modeled as a binary Bernoulli random variable. Both measurement and control data dropouts are taken into consideration simultaneously. The convergence criterion is derived based on rigorous analysis. Finally, the simulation results verify the effectiveness of the proposed method.

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NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction with Implicit Neural Representations

arXiv

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arXiv 2022年

作者： Ran, Yunlong Zeng, Jing He, Shibo Chen, Jiming Li, Lincheng Chen, Yingfeng Lee, Gimhee Ye, Qi The College of Control Science and Engineering Zhejiang University Hangzhou China The College of Control Science and Engineering The State Key Laboratory of Industrial Control Technology Zhejiang University The Key Laboratory of Collaborative Sensing and Autonomous Unmanned Systems of Zhejiang Province China Fuxi AI Lab NetEase Inc. Hangzhou China The Department of Computer Science National University of Singapore Singapore

Implicit neural representations have shown compelling results in offline 3D reconstruction and also recently demonstrated the potential for online SLAM systems. However, applying them to autonomous 3D reconstruction, where a robot is required to explore a scene and plan a view path for the reconstruction, has not been studied. In this paper, we explore for the first time the possibility of using implicit neural representations for autonomous 3D scene reconstruction by addressing two key challenges: 1) seeking a criterion to measure the quality of the candidate viewpoints for the view planning based on the new representations, and 2) learning the criterion from data that can generalize to different scenes instead of a hand-crafting one. To solve the challenges, firstly, a proxy of Peak Signal-to-Noise Ratio (PSNR) is proposed to quantify a viewpoint quality;secondly, the proxy is optimized jointly with the parameters of an implicit neural network for the scene. With the proposed view quality criterion from neural networks (termed as Neural Uncertainty), we can then apply implicit representations to autonomous 3D reconstruction. Our method demonstrates significant improvements on various metrics for the rendered image quality and the geometry quality of the reconstructed 3D models when compared with variants using TSDF or reconstruction without view planning. Project webpage https://***/NeurAR/. Copyright © 2022, The Authors. All rights reserved.

关键词： computer vision

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Introduction to time series search engine systems

Introduction to time series search engine systems

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International Conference on Systems and Informatics (ICSAI)

作者： Chuanlei Zhang Ji'an Luo Shanwen Zhang Chen Zhang Department of Electrical & Computer Engineering Ryerson University State Key Lab. of Industrial Control Tech. Zhejiang University Zhejiang China Department of Engineering and Technology Zhengzhou University China Discover Information Technology Limited Shanghai China

Basic structure of time series search engine system, involving acquisition, data processing and retrieval sub-systems, was elaborated. And options for time series search engine architectures and supported features and... 详细信息

关键词： Time series analysis Data mining Search engines Feature extraction Interpolation Data processing Indexing

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Time Synchronization in WSNs: A Maximum Value Based Consensus Approach

Time Synchronization in WSNs: A Maximum Value Based Consensu...

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IEEE Conference on Decision and control

作者： Jianping He Peng Cheng Ling Shi Jiming Chen State Key Lab. of Industrial Control Technology Zhejiang University Hangzhou 310027 China Department of Electric and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

ISBN: (纸本)9781612848006

This paper proposes a novel synchronization algorithm for wireless sensor networks (WSNs), the Maximum Time Synchronization (MTS), which is based on maximum value consensus approach. The main idea is to maximize the local information to achieve a global synchronization. Compared with the existing consensus-based synchronization protocols, the main advantages of our protocol include: i) a faster convergence speed such that the synchronization can be completed in a finite time;ii) simultaneous compensation for both the skew and the offset. We provide a rigorous proof of convergence to global synchronization and also give the upper bound of the convergence time. Moreover, the protocol is completely distributed, asynchronous, and robust against packet losses, nodes failure and the addition of new nodes. Some numerical examples are presented to demonstrate the efficiency of our protocol.

关键词： clock recovery maximum value Converge local information. Skew Asynchronous

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Deep Learning based Defect Detection Algorithm for Solar Panels

Deep Learning based Defect Detection Algorithm for Solar Pan...

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WRC Symposium on Advanced Robotics and Automation (WRC SARA)

作者： Jiaqi Li Hongxu Li Yifan Wu Hailiang Zhou Luigi Manfredi Peng Li Hong Zhang Department of Key Lab of Industrial Computer Control Engineering Hebei Province Yanshan University Qinhuangdao China Department of Computing Science University of Alberta Edmonton AB Canada Hebei Baoding Jiasheng Photovoltaic Technology Co. Ltd. Department of Institute for Medical Science and Technology (IMSaT) University of Dundee United Kingdom Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen China

Defect detection of solar panels plays an essential role in guaranteeing product quality within automated production lines. However, traditional manual inspection of solar panel defects suffers from low efficiency. This paper proposes an enhanced YOLOv5 algorithm (EL-YOLOv5) fused with the CBAM hybrid attention module to ensure product quality. The algorithm focuses on detecting five common types of defects that frequently appear on photovoltaic production lines, namely hidden cracks, scratches, broken grids, black spots, and short circuits. This study utilizes publicly available solar panel datasets, as well as datasets collected from actual photovoltaic production lines. These datasets are annotated accordingly and used to train the proposed algorithm. The experimental results demonstrate that the proposed algorithm achieves good performance on both the public and actual solar panel defect datasets. Particularly in actual datasets, where defect features are often less apparent and defects are smaller in size, the proposed algorithm can still detect even minor black spots.

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A coal hopper blockage detection based on multi-signal feature fusion

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Diangong Jishu Xuebao/Transactions of China Electrotechnical Society 2015年 30卷 561-564页

作者： Pan, Pan Wu, Hai Li, Haibin Huanghua Port Affairs of China Shenhua Energy Co. Ltd. Cangzhou061000 China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao066004 China

Aiming at the requirements of high real-time and high accuracy for a coal hopper blockage detection in port, the paper proposed a program based on multi-signal feature fusion analysis to detect the coal hopper blockage. First we respectively extracted short-time energy and short-time zero crossing ratio, maximum spectrum of feature vectors of unit box of the vibration sensors and acoustic sensors, then use the Euclidean of neighboring eigenvectors combined with Kalman filter to judge the transient abnormal. Finally, the coal hopper blockage was synthetically judged by anomaly features. The results of the experiments based on labview virtual instrument platform showed that the scheme can quickly achieve funnel signals with high accuracy. ©, 2015, The editorial office of Transaction of China Electrotechnical Society. All right reserved.

关键词： Coal

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Multi-Channel Assignment in Wireless Sensor Networks: A Game Theoretic Approach

Multi-Channel Assignment in Wireless Sensor Networks: A Game...

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2010 Proceedings IEEE INFOCOM

作者： Qing Yu Jiming Chen Yanfei Fan Xuemin (Sherman) Shen Youxian Sun State Key Lab of Industrial Control Technology Zhejiang University Hangzhou 310027 P.R.China Department of Electrical and Computer Engineering University of Waterloo Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9781424458363

In this paper, we formulate multi-channel assignment in Wireless Sensor Networks (WSNs) as an optimization problem and show it is NP-hard. We then propose a distributed Game Based Channel Assignment algorithm (GBCA) to solve the problem. GBCA takes into account both the network topology information and transmission routing information. We prove that there exists at least one Nash Equilibrium in the channel assignment game. Furthermore, we analyze the sub-optimality of Nash Equilibrium and the convergence of the Best Response in the game. Simulation results are given to demonstrate that GBCA can reduce interference significantly and achieve satisfactory network performance in terms of delivery ratio, throughput, channel access delay and energy consumption.

关键词： Wireless sensor networks Game theory Routing Interference Protocols Network topology Nash equilibrium Radio transceivers Autonomous agents Sensor phenomena and characterization

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