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第37届中国控制会议

作者： Xiao-dong Zhao Yi-ming Fang Zhuang Ma Miao Xu Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Tangshan University

To improve the global search ability under the condition of ensuring convergence speed, it is still a major challenge for most meta-heuristic optimization algorithms. The Moth-Flame Optimization（MFO） algorithm is an innovative nature-inspired algorithm. To improve the precision of the solution and to quicken the convergence speed and to increase the stability of MFO,an ameliorated Moth-flame optimization algorithm（A-MFO） that combines the crisscross optimization algorithm with MFO is proposed to solve this problems that are mentioned above. The performance of proposed A-MFO is demonstrated on six benchmark mathematical function optimization problems regarding superior accuracy and lower computational time achieved compared to other well-known nature-inspired algorithms.

关键词： Moth-flame optimization algorithm crisscross optimization algorithm stochastic optimization convergence

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Incentive-Driven and Freshness-Aware Content Dissemination in Selfish Opportunistic Mobile Networks

Incentive-Driven and Freshness-Aware Content Dissemination i...

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IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Huan Zhou Jie Wu Hongyang Zhao Shaojie Tang Canfeng Chen Jiming Chen State Key Lab. of Industrial Control Technology Zhejiang University China Department of Computer and Information Sciences Temple University USA Nokia Research Center Beijing China

Recently, the content-based publish/subscribe (pub/sub) paradigm is gaining popularity in opportunistic mobile networks (OppNets) for its flexibility and adaptability. Since nodes in OppNets is controlled by humans, they often behave selfishly with an aim to maximize their own revenues without considering the performance of others. Therefore, stimulating nodes in OppNets to collect, store, and share content efficiently is one of the key challenges under this scheme. Meanwhile, guaranteeing the freshness of content is also a big problem for content dissemination in OppNets. In this paper, in order to solve these problems, we propose an incentive-driven and freshness-aware pub/sub content dissemination scheme, called ConDis (Content Dissemination), for selfish OppNets. In ConDis, the Tit-For-Tat (TFT) scheme is employed to deal with selfish behaviors of nodes in OppNets. ConDis also implements a novel content exchange protocol when nodes are in contact. Specifically, during each contact, the exchange order is determined by the content utility, which is calculated by the direct subscribed value and the indirect subscribed value, and the objective of nodes is to maximize the utility of the content inventory stored in their buffer. Extensive realistic trace-driven simulation results show that ConDis is superior to other existing schemes in terms of total freshness value, total delivered contents, and total transmission cost.

关键词： Peer-to-peer computing Buffer storage Delays Thin film transistors Incentive schemes Exponential distribution Mobile computing

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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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Performance analysis for high-speed railway communication network using stochastic network calculus

Performance analysis for high-speed railway communication ne...

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5th IET International Conference on Wireless, Mobile and Multimedia Networks, ICWMMN 2013

作者： Li, Ying Lei, Lei Zhong, Zhangdui Lin, Siyu School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 China State Key Lab. of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 China Dept. of Electrical and Computer Engineering University of Victoria Victoria BC V8P 5C2 Canada

ISBN: (纸本)9781849197267

High-speed railway (HSR) wireless communication network has won a great development in recent years. However, due to its unique characteristics, such as high speed, fixed mobility track, special traffic, frequent handover and bandwidth constraints, it is quite a challenge to carry out the performance analysis on HSR. In this paper, we derive the backlog and delay bounds for HSR communication network by using stochastic network calculus (SNC) with moment generating functions (MGFs). SNC is a highly useful tool in packet switched network performance analysis since 1990s. Different from the previous studies about SNC which mostly concentrate on general low-speed, traditional public communication network, we take the varying small-scale fading and large-scale fading into consideration by means of a novel multi-dimension finite-state Markov channel (FSMC) model. We elab.rate the differences in packet-level channel model, traffic model of train control information and performance metrics in HSR communication network. Particularly, the backlog and delay bounds of HSR with different packet arrival rates and violation probabilities are derived when train travels from the cell center to the cell edge. What is more, the numerical results can help to provide a guideline for designing the proper violation probabilities and arrival rates to different types of traffic in HSR communication network.

关键词： Calculations

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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 elab.rated. 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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Energy-efficient area coverage in bistatic radar sensor networks

Energy-efficient area coverage in bistatic radar sensor netw...

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2013 IEEE Global Communications Conference (GLOBECOM)

作者： Qianqian Yang Shibo He Jiming Chen State Key Lab. of Indnsrrial Control Technology Zhejiang University China School of Electrical Computer and Energy Engineering Arizona State University USA

ISBN: (纸本)9781479913510

In this paper we study area coverage in bistatic radar sensor networks (BRSN), which is composed of a collection of transmitters and receivers. Coverage in BRSN is much more difficult than that in traditional sensor networks as the sensing area of a bistatic radar depends on the positions of its component transmitter and receiver, and is in general of an elliptical shape. We first investigate the geometrical relationship between the c-coverage area of a bistatic radar and the distance between its component transmitter and receiver, based on which we reduce the number of candidate bistatic radars from all transmitter-receiver pairs. Then we reduce the problem dimension by transforming the area coverage problem to point coverage problem by employing intersection point concept. Finally we propose an efficient algorithm to solve the Point Coverage Problem, which thus solves the area coverage problem. We perform extensive simulations to validate our analysis and the performance of the proposed algorithm.

关键词： Bistatic radar Receivers Algorithm design and analysis Radio transmitters Sensors

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Integral Sliding Mode control for PMSM with Uncertainties and Disturbances via Nonlinear Disturbance Observer

Integral Sliding Mode Control for PMSM with Uncertainties an...

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Chinese control Conference (CCC)

作者： Jianxiong Li Hongmei Ren Songhua Wang Yiming Fang Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment Yanshan University Qinhuangdao China The Key Lab of Industrial Computer Control Engineering of Yanshan University Qinhuangdao China

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

In this paper, a nonlinear disturbance observer-based (NDOB) integral sliding mode control (SMC) algorithm is proposed for speed control of permanent magnet synchronous motor (PMSM) in the presence of uncertain parameters and external time-varying load toque. Firstly, three nonlinear disturbance observers (NDOs) are constructed to estimate the lumped disturbances comprising of uncertain parameters and/or disturbances in speed loop and two current loops, respectively. Secondly, an integral sliding mode controller is developed based on the NDOs. It can be proved that the resulting closed loop system is asymptotically stable and the speed tracking error converges to zero asymptotically in theory. Finally, experiment results are given to validate the proposed control method.

关键词： Torque Disturbance observers Sliding mode control Uncertainty Velocity control Mathematical model Upper bound

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Multi-step Prediction Error Approach for MPC Performance Monitoring *

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IFAC Proceedings Volumes 2009年第11期42卷 482-487页

作者： Yu Zhao Jian Chu Hongye Su Biao Huang State Key Lab. of Industrial Control Technology Institute of Cyber Systems and Control Zhejiang University Hangzhou China Department of Chemical and Materials Engineering University of Alberta Edmonton AB Canada T6G 2G6

Abstract Performance monitoring of model predictive control systems (MPC) has received a great interest from both academia and industry. In recent years some novel approaches for multivariate control performance monitoring have been developed without the requirement of process models or interactor matrices. Among them the prediction error approach has been shown to be a promising one, but it is k-step prediction based and may not be fully comparable with the MPC objective that is multi-step prediction based. This paper develops a multi-step prediction error approach for performance monitoring of model predictive control systems, and demonstrates its application in an industrial MPC performance monitoring and diagnosis problem.

关键词： Multivariable control systems Model predictive control Performance evaluation Performance monitoring Prediction error methods

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Isoform Function Prediction Based on Heterogeneous Graph Attention Networks

Isoform Function Prediction Based on Heterogeneous Graph Att...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Guo, Kuo Li, Yifan Chen, Hao Shen, Hong-Bin Yang, Yang Shanghai Jiao Tong University Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Department of Computer Science and Engineering Shanghai200240 China Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Institute of Image Processing and Pattern Recognition Shanghai200240 China Carnegie Mellon University School of Computer Science Computational Biology Department PittsburghPA15213 United States

ISBN: (纸本)9798350337488

Isoforms refer to different mRNA molecules transcribed from the same gene, which can be translated into proteins with varying structures and functions. Predicting the functions of isoforms is an essential topic in bioinformatics as it can provide valuable insights into the intricate mechanisms of gene regulation and biological processes. Conventionally, gene function lab.ls are standardized in Gene Ontology (GO) terms. However, traditional methods for predicting isoform function are largely limited by the absence of isoform-specific lab.ls, sparse annotations, and the vast number of GO terms. To address these issues, we propose HANIso, a deep learning-based method for isoform function prediction. HANIso leverages a pretrained protein language model to extract features from protein sequences. It also integrates heterogeneous information, such as isoform sequence features, GO annotations, and isoform interaction data, using a Heterogeneous Graph Attention Network (HAN). This allows the model to learn the importance of different sources of information and their semantic relationships through the attention mechanism. Our method can predict function lab.ls at both the gene level and isoform level. We conduct experiments on two species datasets, and the results demonstrate that our method outperforms existing methods on both AUROC and AUPRC. HANIso has the potential to overcome the limitations of traditional methods and provide a more accurate and comprehensive understanding of isoform function. © 2023 IEEE.

关键词： alternative splicing gene ontology heterogeneous graph attention network isoform function prediction protein language model

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Energy Efficiency Maximization for Hybrid Access Femtocell Networks via Incentive Mechanism and Power control Strategy

Energy Efficiency Maximization for Hybrid Access Femtocell N...

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

作者： Xuelin Liu Weimin Wang Zhixin Liu School of control science and engineering Dalian University of Technology Dalian China School of electrical engineering Yanshan University Qinhuangdao China Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao Hebei Province China

Femtocell network has a great development space in increasing coverage and capacity of wireless network. In order to meet the quality of service (QoS) requirements of MUEs in MBS coverage, we propose a seed channel incentive mechanism in the two-tier femtocell network, where the MBS provides sub-channels to FBSs to motivate them to serve for the MUEs within the MBS coverage. To maximize the energy efficiency of femtocell layer after hybrid access, the optimization problem is modeled. The combined method of worst-case, Dinkelbach and continuous convex approximation is developed to make the optimization problem solvable. In addition, in order to realize the practical application of the proposed scheme, an optimization algorithm combining sub-channel and power allocation is developed. The numerical results show that the proposed algorithm is effective in improving the energy efficiency of the femtocell layer.

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