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37th Chinese control Conference, CCC 2018

作者： Hongbin, Wang Zhen, Zhou Yueling, Wang Mingquan, Zhang Xiaojun, Xue Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao066004 China

ISBN: (纸本)9789881563941

This paper deals with the formation control problem for a group of quadrotor unmanned aerial vehicles (UAVs) through a modified dynamic event-triggered control protocol. The stability proof for the state space origin of the overall closed-loop system is derived from the singular perturbation method and Lyapunov stability theory. An event-triggered formation control protocol in terms of a dynamically varying threshold parameter is delicately carried out while acquiring satisfactory resource efficiency, and Zeno behavior of triggering time sequences is excluded. Finally, simulations on four quadrotor UAVs are given to verify the effectiveness of the theoretical results. © 2018 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Closed loop systems

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PID-type Sliding Mode control for Permanent Magnet Synchronous Motor Based on Uncertainty and Disturbance Estimator

PID-type Sliding Mode Control for Permanent Magnet Synchrono...

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Chinese Automation Congress (CAC)

作者： Jianxiong Li Songhua Wang Jie Gao Yiming Fang Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China School of Electrical Engineering Yanshan University Qinhuangdao China

In order to improve the speed tracking control performance of Permanent magnet synchronous motors (PMSM) with uncertainties and disturbances, an uncertainty and disturbance estimator (UDE)-based PID-type sliding mode control (SMC) approach is proposed. The proposed controller consists of two parts, the reference model, and the UDE-based sliding mode controller. The reference signals of the actual system are generated by a reference model, whose controller is designed by using a nonsingular terminal sliding mode control (NTSMC), and then employed in the UDE-based controller design. The UDE is used to estimate the uncertainties and disturbances of the system, and an UDE-based SMC algorithm is then developed. It can be proved that the resulting closed-loop system is ultimately bounded. Finally, simulation results are given to illustrate that the proposed control scheme achieves good dynamic performance and strong robustness.

关键词： Uncertainty Sliding mode control Low pass filters Steady-state Robustness Permanent magnet motors Simulation

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MmWave MIMO-OFDM with Index Modulation: A Pareto-Optimal Trade-off on Spectral-Energy Efficiency

MmWave MIMO-OFDM with Index Modulation: A Pareto-Optimal Tra...

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GLOBECOM 2020 - 2020 IEEE Global Communications Conference

作者： Yan Yang Shuping Dang Miaowen Wen Mohsen Guizani State Key Lab. of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Computer Electrical and Mathematical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Kingdom of Saudi Arabia School of Electronic and Information Engineering South China University of Technology Guangzhou China Qatar University Qatar

ISBN: (数字)9781728182988

ISBN: (纸本)9781728182995

Multiple-input multiple-output orthogonal frequency division multiplexing with index modulation (MIMO-OFDM-IM) has the potential advantage to balance the trade-off between spectral efficiency (SE) and energy efficiency (EE). This paper investigates the application of MIMO-OFDM-IM to millimeter wave (mmWave) communication systems. Taking advantage of the properties of Pareto optimality, we propose a feasible solution to achieve a globally Pareto-optimal trade-off between SE and EE, and the collision constraints of multi-objective optimization problem (MOP) can be solved efficiently. The MOP of SE-EE trade-off can then be converted into a Pareto-optimal set (POS) solution problem. This combinatorial-oriented resource allocation approach on SE-EE relation considers the optimal beam design and power reallocation for downlink multi-user mmWave transmission. We adopt the Poisson point process (PPP) to model the mobile data traffic, and the evolutionary algorithm is applied to speed up the search efficiency of the Pareto front. Compared with benchmarks, the experimental results collected from extensive simulations reveal that the proposed optimization approach is vastly superior to existing algorithms.

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Privacy-preserving distributed machine learning via local randomization and admm perturbation

arXiv

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arXiv 2019年

作者： Wang, Xin Ishii, Hideaki Du, Linkang Cheng, Peng Chen, Jiming State Key Lab. of Industrial Control Technology Zhejiang University Hangzhou310027 China Dept. of Computer Science Tokyo Institute of Technology Yokohama226-8502 Japan

With the proliferation of training data, distributed machine learning (DML) is becoming more competent for large-scale learning tasks. However, privacy concerns have to be given priority in DML, since training data may contain sensitive information of users. In this paper, we propose a privacy-preserving ADMM-based DML framework with two novel features: First, we remove the assumption commonly made in the literature that the users trust the server collecting their data. Second, the framework provides heterogeneous privacy for users depending on data's sensitive levels and servers' trust degrees. The challenging issue is to keep the accumulation of privacy losses over ADMM iterations minimal. In the proposed framework, a local randomization approach, which is differentially private, is adopted to provide users with self-controlled privacy guarantee for the most sensitive information. Further, the ADMM algorithm is perturbed through a combined noise-adding method, which simultaneously preserves privacy for users' less sensitive information and strengthens the privacy protection of the most sensitive information. We provide detailed analyses on the performance of the trained model according to its generalization error. Finally, we conduct extensive experiments using real-world datasets to validate the theoretical results and evaluate the classification performance of the proposed framework. Copyright © 2019, The Authors. All rights reserved.

关键词： Random processes

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Differential Privacy-preserving Distributed Machine Learning

Differential Privacy-preserving Distributed Machine Learning

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IEEE Annual Conference on Decision and control

作者： Xin Wang Hideaki Ishii Linkang Du Peng Cheng Jiming Chen State Key Lab. of Industrial Control Technology Zhejiang University Hangzhou P. R. China Dept. of Computer Science Tokyo Institute of Technology Yokohama Japan

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

Distributed machine learning (DML) has received widespread attentions, where a shared prediction model is collab.ratively learned by multiple servers. However, since the data used for model training often contains users' sensitive information, DML faces potential risks of privacy disclosure. Particularly, when servers are untrustworthy, it is critical while challenging to guarantee users to obtain privacy preservation that is self-controllab.e and does not weaken in strength during the whole DML process. In this paper, we propose a privacypreserving solution for DML, where privacy protection is achieved through data randomization at the users' side and a modified alternating direction method of multipliers (ADMM) algorithm is designed for servers to mitigate the effect of data perturbation. We prove that this solution provides differential privacy guarantee and preserves the convergence property of a general ADMM paradigm. Also, we provide extensive theoretical analysis about the performance of the trained model. Numerical experiments using standard classification datasets are finally conducted to validate the theoretical results.

关键词： Servers Data privacy Privacy Machine learning Linear programming Convex functions Minimization

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Fuzzy Neural Network algorithm based on the delay compensation force/position control structure of a redundant actuation parallel robot *

Fuzzy Neural Network algorithm based on the delay compensati...

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WRC Symposium on Advanced Robotics and Automation (WRC SARA)

作者： Shuhuan Wen Yanfang Zha Haiyang Yu Luigi Manfredi Xiongfei Li Sen Wang Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China Institute for Medical Science and Technology (IMSaT) University of Dundee United Kingdom

In this paper, a novel control method of the redundant force branch based on the force/position hybrid control structure of Smith predictor compensation is proposed. A fuzzy PI controller is designed based on Smith predictor compensation structure and it is included in the redundant force branch. This method can obtain good tracking and dynamic performance. However, fuzzy control doesn't have self-learning and adaptive ability, so fuzzy neural network (FNN) controller is used in the redundant force branch. The simulation results show that the proposed FNN algorithm based on delay compensation force/position hybrid control structure can improve the adaptability and the control accuracy of driving force of redundant branch.

关键词： Force Fuzzy control PI control Fuzzy neural networks Parallel robots Mathematical model Artificial neural networks

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A Learning Evasive Email-Based P2P-Like Botnet

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China Communications 2018年第2期15卷 15-24页

作者： Zhi Wang Meilin Qin Mengqi Chen Chunfu Jia Yong Ma College of Computer and Control Engineering Nankai University Tianjin 300350 China Information Security Evaluation Center of Civil Aviation Civil Aviation University of China Tianjin 300300 China Key Lab. on High Trusted Information System in Hebei Province Baoding 071002 China

Nowadays, machine learning is widely used in malware detection system as a core component. The machine learning algorithm is designed under the assumption that all datasets follow the same underlying data distribution. But the real-world malware data distribution is not stable and changes with time. By exploiting the knowledge of the machine learning algorithm and malware data concept drift problem, we show a novel learning evasive botnet architecture and a stealthy and secure C&C mechanism. Based on the email communication channel, we construct a stealthy email-based P2 P-like botnet that exploit the excellent reputation of email servers and a huge amount of benign email communication in the same channel. The experiment results show horizontal correlation learning algorithm is difficult to separate malicious email traffic from normal email traffic based on the volume features and time-related features with enough confidence. We discuss the malware data concept drift and possible defense strategies.

关键词： malware botnet learning evasion command and control

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Research and application of flatness control for tandem cold rolling 37

Research and application of flatness control for tandem cold...

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37th Chinese control Conference, CCC 2018

作者： Xiaogang, Li Yiming, Fang Le, Liu Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao066004 China National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Qinhuangdao066004 China

ISBN: (纸本)9789881563941

Compound wave defect occurs in flatness during tandem cold rolling when high-end automobile and household appliance plate are produced, which has several impact on line speed and quality of final product. In this paper, a further research is done on sourcing cause of formation for the flatness defect. In combination with adjusting actuators and automatic flatness control principles, Achieving target flatness by rolls tilting, work rolls bending, middle rolls bending, and section cooling control. Adjustment control output of tilting, work rolls and middle rolls bending are calculated by the least square method. Section cooling control output of rolling is calculated by the typical fuzzy control theory. The least square method and fuzzy control algorithm are optimized so as to enhance control accuracy of automatic flatness, and at the same time largely improve flatness of steel strip, reduce working strength of operators and improve production efficiency of production line. © 2018 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Fuzzy control

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Adaptive Dual Model Differential Evolution Algorithm Based on Cloud Model

Adaptive Dual Model Differential Evolution Algorithm Based o...

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第30届中国控制与决策会议

作者： Hu Zhongquan Zhou Zhen Wang Hongbin Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University

To solve the problem of premature convergence and search stagnation in traditional differential algorithm, this paper presents an adaptive dual model differential evolution algorithm based on cloud model(ADDEC). The variation model of ADDEC is produced by combining basic variation with cloud variation. And the adaptive operators are referenced respectively for scale factor and interactive probability during the operation of variation and crossover. The robustness and the convergence rate of the algorithm are enhanced. Moreover the relationship between global search and local search of the algorithm is improved. The diversity of the population is guaranteed at the same time. It is tested by typical high dimension benchmark function and compared with other algorithms, and the results show that the ADDEC has better precision, high convergence speed and makes it easy to jump out the local optimal solution.

关键词： Differential evolution algorithm Cloud model Evolution strategy Adaptive

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Dynamic Event-Triggered Formation control for Multiple Quadrotor UAVs

Dynamic Event-Triggered Formation Control for Multiple Quadr...

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第37届中国控制会议

作者： WANG Hongbin ZHOU Zhen WANG Yueling ZHANG Mingquan XUE Xiaojun Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University

This paper deals with the formation control problem for a group of quadrotor unmanned aerial vehicles（UAVs） through a modified dynamic event-triggered control protocol. The stability proof for the state space origin of the overall closed-loop system is derived from the singular perturbation method and Lyapunov stability theory. An event-triggered formation control protocol in terms of a dynamically varying threshold parameter is delicately carried out while acquiring satisfactory resource efficiency, and Zeno behavior of triggering time sequences is excluded. Finally, simulations on four quadrotor UAVs are given to verify the effectiveness of the theoretical results.

关键词： Formation control Singular perturbation Dynamic event-triggered controller Multiple quadrotor UAVs

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