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检索条件"任意字段=7th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2018"

共 474 条记录，以下是191-200 订阅

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Intrusion Detection based on Non-negative Positive-unlabeled learning 9

Intrusion Detection based on Non-negative Positive-unlabeled...

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Lv, Sicai Liu, Yang Liu, Zhiyao Chao, Wang Wu, Chenrui Wang, Bailing Harbin Inst Technol Weihai Sch Comp Sci & Technol Weihai 264200 Peoples R China Harbin Inst Technol Weihai Res Inst Cyberspace Secur Weihai 264200 Peoples R China China Ind Control Syst Cyber Emergency Response T Beijing 100040 Peoples R China

ISBN: (纸本)9781728159225

Due to the diversity of network traffic flow, intrusion detection is usually studied as an anomaly detection problem. In this paper, Positive-unlabeled with Non-negative Risk Estimator(nnPU) learning is introduced for intrusion detection. the cyber attacks is treated as positive samples in PU learning. A risk estimator is raised to estimates the binary classification loss. For data imbalance in intrusion detection, we improve the risk estimator of nnPU through focal loss(FL-nnPU). the dynamic weights in focal loss is used to balance the small class prior. the experiments result show that FL-nnPU have a close performance to binary classification, and it performs better than nnPU under data imbalance problems.

关键词： intrusion detection positive-unlabeled learning risk estimator data imbalance

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data-driven optimal fault-tolerant control for unknown linear systems 8

Data-driven optimal fault-tolerant control for unknown linea...

引用

8th ieee data driven control and learning systems conference, ddcls 2019

作者： Yang, Qinmin Ruan, Zhengwei College of Control Science and Engineering Zhejiang University Hangzhou310027 China

ISBN: (纸本)9781728114545

In this paper, optimal fault-tolerant control is investigated for a class of unknown linear systems with multiple actuators subject to actuator faults. To tackle the problem of actuator faults and maintain the nearly optimal systems performance, a novel optimal fault-tolerant control strategy is proposed on account of the real system information, without the necessity of complete knowledge of system matrices. It consists of a switching function method, a novel adaptive control law and an optimal control policy. By optimizing a cost function, an optimal adaptive controller is found to stabilize the system with the approximate dynamic programming technique. the switching function related to the optimal control policy is implemented to locate and reduce the impact of the faulty actuators automatically. Furthermore, all the signals of the closed-loop system are ensured to be uniformly bounded and the stability analysis is rigidly given. Finally, some simulation studies are provided to verify the merits of the proposed method. © 2019 ieee.

关键词： Linear systems

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A Multi-objective Optimal Scheduling Method by Considering Energy and Production for Integrated Energy System in Steel Industry 12

A Multi-objective Optimal Scheduling Method by Considering E...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Wang, Jichen Jin, Feng Zhao, Jun Wang, Wei Dalian Univ Technol Key Lab Intelligent Control & Optimizat Ind Equip Minist Educ Dalian 116024 Peoples R China Dalian Univ Technol Sch Control Sci & Engn Dalian 116024 Peoples R China

ISBN: (纸本)9798350321050

In the production process of steel enterprise, reasonable scheduling of byproduct energy plays a significant role in reducing operation cost, environmental pollution and improving energy utilization. In this study, a two-stage optimal scheduling method is proposed to solve the problem. the optimal scheduling of coupled gas-steam-electricity system and production scheduling of steelmaking-refining-continuous casting are introduced into this method. the minimum energy purchase cost and carbon emission cost are considered as the objective functions in the optimal scheduling of coupled gas-steam-electricity system. through the proper adjustment of production plan, the distribution structure of energy is optimized and the space for energy optimization is expanded, which is more profitable to reduce the operation cost of enterprise. the proposed method has been validated with actual operation data of a large domestic steel enterprise, the optimization results show that the total cost of the enterprise can be reduced by 20.75% compared to the actual operating cost of the enterprise and 1.52% compared to the general optimization method, providing support for conducting steel enterprises to save energy and reduce emission, as well as reduce cost and increase efficiency.

关键词： Steel industry Integrated energy system Energy scheduling Production scheduling

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Manufacturing Big data Modeling Algorithm Based on GM (1,1) - LSTM and Its Application in Sales Forecasting 12

Manufacturing Big Data Modeling Algorithm Based on GM (1,1) ...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Long, Yinren Xiao, Yi Ren, Hongru Lu, Renquan Guangdong Univ Technol Sch Automat Guangzhou 510006 Peoples R China Guangdong Univ Technol Guangdong Prov Key Lab Intelligent Decis & Cooper Guangzhou 510006 Peoples R China

ISBN: (纸本)9798350321050

It is a new period for the development of automobile industry, the economic situation is complex and changing, and the policies of automobile industry are frequently issued, so accurate prediction of automobile sales is extremely important and practical for both government and enterprises. In this paper, the GM(1,1) model and the long short-term memory (LSTM) neural network model are combined and optimized, and the sales of a brand of cars from January 2019 to September 2022 are used as sample data, and the car sales in the next three months are predicted by two single models and linear combination forecasting models, respectively. the experimental results show that the linear combined forecasting model outperforms the other two single models in terms of forecasting results and has better resistance to the interference of external factors.

关键词： Big data Modeling Sales Forecasting Manufacturing Enterprise

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Dark web traffic detection method based on deep learning 10

Dark web traffic detection method based on deep learning

引用

10th ieee data driven control and learning systems conference, ddcls 2021

作者： Ma, Haoyu Cao, Jianqiu Mi, Bo Huang, Darong Liu, Yang Zhang, Zhenyuan College of Information Science and Engineering Chongqing Jiaotong University Chongqing400074 China

ISBN: (纸本)9781665424233

Network traffic detection is closely related to network security, and it is also a hot research topic now. With the development of encryption technology, traffic detection has become more and more difficult, and many crimes have occurred on the dark web, so how to detect dark web traffic is the subject of this study. In this paper, we proposed a dark web traffic(Tor traffic) detection scheme based on deep learning and conducted experiments on public data sets. By analyzing the results of the experiment, our detection precision rate reached 95.47%. © 2021 ieee.

关键词： Network security

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A Novel Prescribed Performance control Strategy for Uncertain Nonlinear systems 11

A Novel Prescribed Performance Control Strategy for Uncertai...

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11th ieee data driven control and learning systems conference, ddcls 2022

作者： Ju, Jiaying Liu, Na Liu, Yunlei School of Information and Electrical Engineering Shandong Jianzhu University Shandong Key Laboratory of Intelligent Buildings Technology Jinan250101 China Architecture and Urban Planning Design Institute Shandong Jianzhu University Jinan250101 China Jinan Chengbo Information Technology Co. Ltd Jinan250101 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

In this paper, a new finite-time prescribed performance control strategy is proposed for unknown nonlinear systems. Compared with previous research results, the controller is simple in design, with fewer parameters and greatly reduced computational complexity. In addition, the tracking error can relatively quick converge to a predefined performance boundary region in the transient process and remain in this region after reaching the steady state. Finally, the stability analysis and simulation results verify the effectiveness of the proposed controller. © 2022 ieee.

关键词： controllers

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Event-based Integral Reinforcement learning Algorithm for Non-zero-sum Games of Partially Unknown Nonlinear systems 10

Event-based Integral Reinforcement Learning Algorithm for No...

引用

10th ieee data driven control and learning systems conference, ddcls 2021

作者： Su, Hanguang Zhang, Huaguang Luo, Yanhong Sun, Qiuye School of Information Science and Engineering Northeastern University Liaoning Shenyang China

ISBN: (纸本)9781665424233

In this work, a novel event-based integral reinforcement learning (IRL) adaptive control method is developed to solve the multiplayer non-zero-sum (NZS) games of the nonlinear systems with unknown drift dynamics. By virtue of the IRL algorithm, the system drift dynamics is no more needed in the controller design. Moreover, different from the existing iteration computation methods, this method is online implemented, on which condition the event-triggered control framework can be combined with the IRL algorithm in solving the NZS game problems. In this method, a state-dependent triggering condition is proposed, thus the computation and communication loads are reduced in the control process. Moreover, the uniform ultimate boundedness (UUB) stability of the controlled system and the convergence of the critic weights have also been proved. Finally, a numerical example is provided to demonstrate the effectiveness of our method. © 2021 ieee.

关键词： Reinforcement learning

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Decision Making for Overtaking of Unmanned Vehicle Based on Deep Q-learning 10

Decision Making for Overtaking of Unmanned Vehicle Based on ...

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10th ieee data driven control and learning systems conference, ddcls 2021

作者： Chen, Wenbin Xie, Guo Ji, Wenjiang Fei, Rong Hei, Xinhong Li, Siyu Ma, Jialin Xi'an University of Technology Xi'an710048 China

ISBN: (纸本)9781665424233

Overtaking decision under dynamic environment is one of the key research directions. Traditional methods are difficult to solve such a complex optimization decision-making problem. In recent years, reinforcement learning algorithm is developing continuously, which can be applied to solve the overtaking decision problem of unmanned vehicles. Reinforcement learning generates new data through the continuous interaction between agent and environment, and feeds back to the agent for corresponding learning behavior, so as to improve its own behavior strategy. In this paper, Deep Q-learning (DQN) is used to solve the overtaking decision-making problem on one-way through two lanes. A one-way through two lane traffic environment is built in Python to train and test the algorithm. © 2021 ieee.

关键词： Decision making

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PH control of Slurry in Wet Flue Gas Desulfurization Based on Model Free Adaptive control 9

PH Control of Slurry in Wet Flue Gas Desulfurization Based o...

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Liu, Jian Li, Xiaoli Li, Yang Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China Minist Educ Beijing Key Lab Computat Intelligence & Intellige Engn Res Ctr Digital Community Beijing 100124 Peoples R China Beijing Univ Technol Beijing Adv Innovat Ctr Future Internet Technol Beijing 100124 Peoples R China Commun Univ China Sch Int Studies Beijing 100024 Peoples R China

ISBN: (纸本)9781728159225

In limestone-gypsum wet flue gas desulfurization process, the pH change process of slurry in absorption tower has the characteristics of high nonlinearity, large lag and various disturbances. According to the process of pH control in wet flue gas desulfurization, a model free adaptive control algorithm based on compact form dynamic linearization (CFDL-MFAC) is designed. then the simulation is carried out with Matlab based on hammestein model of slurry pH control system. It is turned out that CFDL-MFAC algorithm can effectively use the input and output data of the pH control process to realize the tracking control of slurry pH and obtain high control accuracy, which verifies the effectiveness of the method. Compared with PID control, CFDL-MFAC controller can not only obtain better control effect, but also effectively suppress external disturbance.

关键词： Wet flue gas desulfurization Slurry pH Model free adaptive control Tracking control

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An improved quadratic-criterion-based iterative learning control for trajectory tracking of robotic arms 8

An improved quadratic-criterion-based iterative learning con...

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8th ieee data driven control and learning systems conference, ddcls 2019

作者： Zhu, Minfeng Ye, Lingjian Ma, Xiushui Zhejiang University Department of Control Science and Engineering Hangzhou310027 China Ningbo Institute of Technology Zhejiang University Ningbo315100 China

ISBN: (纸本)9781728114545

In this paper, an improved quadratic-criterion-based iterative learning control approach (Q-ILC) is proposed to obtain better trajectory tracking performance for the robotic arms. Besides of the position error information, which has been used in existing Q-ILC methods for robotic control, the velocity error information is also taken into consideration such that a new norm-optimal objective function is constructed. Convergence and error sensitivity properties for the proposed method are also analyzed. Furthermore, the Extended Kalman Filter (EKF) is utilized to estimate error states, which restrain the effects of model errors and measurement noise. Simulations on a 2DOF Robot manipulator demonstrate that our method achieves faster convergence and better transient performance, compared to the original Q-ILC. © 2019 ieee.

关键词： Extended Kalman filters

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