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48th Annual Conference of the IEEE industrial Electronics Society, IECON 2022

作者： Ma, Kai Dong, Yufei Zhao, Peng Yang, Jie Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao China Yanshan University School of Electrical Engineering Qinhuangdao China

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

The consensus based distributed frequency control strategy makes all measurements and control units in microgrids vulnerable to false data injection (FDI) attacks. This paper presents an observer-based resilient frequency control for estimating and compensating for FDI attacks on sensors and actuators in AC microgrids. Firstly, attacks of sensors and actuators are estimated online simultaneously by observers. Then a distributed H∞ output feedback protocol is used to ensure that the frequency consensus tracking is achieved with cooperative uniform ultimate boundedness. The control strategy is completely distributed and does not require any quantitative information about attacks. Furthermore, there is no limit to the number and location of attacked units. Several case studies are provided to verify the effectiveness of the proposed resilient frequency control strategy. © 2022 IEEE.

关键词： Frequency estimation

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Optimal Resource Allocation Scheme for RIS-Assisted Vehicular Networks

Optimal Resource Allocation Scheme for RIS-Assisted Vehicula...

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第43届中国控制会议

作者： Wenxuan Chen Jiawei Su Zhixin Liu the School of Electrical Engineering Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Deploying reconfigurable intelligent surfaces(RIS)in vehicular networks can effectively improve the quality of wireless channel and increase network throughout,which is realized by optimizing the phase ***,the dynamic network environment and complex multi-user interference seriously affect network *** transmission powers blindly cannot solve the interference problem but also reduces the transmission efficiency of the RIS-based vehicular *** address the above challenges,this paper proposed a joint optimization scheme of transmission beamforming and phase *** on the block coordinate descent(BCD) theory,this paper decomposed the scheme into two sub-problems:transmission beamforming optimization and RIS phase shift optimization,and the joint optimization algorithm was *** results have demonstrated that the transmission rate has been improved with the assistance of RIS,with the multi-user interference effect being well-depressed.

关键词： Vehicular networks RIS Interference management Phase shift optimization

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Microgrid Economic Dispatch Problem Based on Distributed Algorithm in V2G Background

Microgrid Economic Dispatch Problem Based on Distributed Alg...

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Data Driven control and Learning Systems (DDCLS)

作者： Lina Ren Shuai Li Zhihan Hu Key Lab of Industrial Computer Control of Hebei Province Yanshan University Qinhuangdao China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

With the emergence of increasingly complex modern energy networks, there is a need for flexible and reliable methods to solve economic dispatch problems in smart grids. For this purpose, a broadcast gossip algorithm is proposed for solving the economic dispatch problem in a smart grid environment populated with distributed generators and vehicle to grid. First, with the objective of minimizing the system cost, the cost model of each part of the microgrid is developed under various constraints. At the same time, considering the peak-to-valley difference in the process of electric energy dispatching, this paper proposes an electric vehicle incentive and compensation cost model to achieve the purpose of making the grid peak and valley reduction. Then, an event triggering mechanism is introduced to save communication resources while economical scheduling. Finally, the proposed model and algorithm are simulated and analyzed by using the microgrid structure of IEEE 11 - bus standard, and the effectiveness of the proposed model and algorithm are verified.

关键词： Photovoltaic systems Vehicle-to-grid Analytical models Costs Microgrids Wind power generation Thermal loading

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Fully Distributed Adaptive Finite Time Fault-Tolerant control for Multi-Agent Systems with Actuator Faults 13

Fully Distributed Adaptive Finite Time Fault-Tolerant Contro...

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13th IEEE International Conference on CYBER Technology in Automation, control, and Intelligent Systems, CYBER 2023

作者： Wang, Xiaoqi Fang, Yiming Xu, Miao Lei, Zhichao Yanshan University Key Labpratory of Industrial Computer Control Engineering Hebei Province Qinhuangdao China Yanshan University Eng. Res. Center of the Education Ministry for Intelligent Control System and Intelligent Equipment Hebei Province Qinhuangdao China

ISBN: (纸本)9798350315196

For a class of second-order nonlinear leader-following multi-agent systems with actuator faults and integral quadratic constraints (IQCs) of followers, a fully distributed adaptive consensus control algorithm based on improved PID sliding mode is designed. The algorithm only requires local topology information but no global information. According to Lyapunov stability theory, it is demonstrated that multi-agent systems can converge to the vicinity near equilibrium points within a finite time. Finally, the feasibility of the control algorithm proposed in this paper is verified by numerical simulation of multi-agent systems. © 2023 IEEE.

关键词： Multi agent systems

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An Improved NSGAII Algorithm for Flexible Job-shop Scheduling Problem Based on A New Decoding Mechanism

An Improved NSGAII Algorithm for Flexible Job-shop Schedulin...

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

作者： Man Li Kai Ma Shiliang Guo Shuai Li Bin Yang Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

The flexible job-shop scheduling problem (FJSP) is a famous combinatorial optimization problem. FJSP is widely used in process manufacturing industry, so it is of great significance to study FJSP to improve production efficiency. In this paper, a non-dominated sorting genetic algorithm II based on a new decoding mechanism (NSGAII_NDM) is proposed. Firstly, the opposite-based learning strategy is introduced on the basis of NSGAII, and the sufficiency of global search is improved by generating the opposite value. Secondly, an improved adaptive crossover and mutation probability strategy is added, which can dynamically adjust the inherent crossover and mutation probability with the number of iterations and improve the convergence speed of the algorithm. Furthermore, based on fully active scheduling strategy, a new decoding mechanism is proposed, which can get a better scheduling scheme by arranging the machines and starting time of each process more reasonably. Finally, the improved algorithm is tested in a standard test case, which verifies the superiority of NSGAII_NDM in solving the flexible job-shop scheduling problem.

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An Improved Fault-Tolerant control and Stabilization for Positive Polynomial Fuzzy Systems

An Improved Fault-Tolerant Control and Stabilization for Pos...

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IEEE International Conference on control Science and Systems engineering (CCSSE)

作者： Ziguang Wang Aiwen Meng Mingxuan Wang Zhiquan Li Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Hebei China College of Electronic and Information Engineering Hebei University Hebei China

ISBN: (数字)9798331517199

ISBN: (纸本)9798331517205

This paper presents an improved analysis method to design a fault-tolerant controller for positive polynomial fuzzy systems based on static output feedback as well as actuator faults. Firstly, inspired by the property of fault matrix, a new approach of controller design is presented, and some constraint conditions are introduced to guarantee the stability conditions and posi-tivity conditions to be convex simultaneously. Furthermore, by comparing with the existing methods, this method not only can eliminate the binding to the input matrix B, but also is able to provide a wider range of stability region. Besides, to enhance the relaxation of the stability analysis, we introduce the up-to-date Taylor series membership functions (TSMFs) approximation method such that the information embedded in the membership functions and the state boundary information can be taken into the stability conditions. As a result, on the strength of Lyapunov stability theory, the stability analysis is performed via sum-of-squares (SOS) approach. Finally, a simulation example is given to illustrate the effectiveness and reliability of the proposed method.

关键词： Fault tolerant systems Fault tolerant control Reliability theory Taylor series Systems engineering and theory Stability analysis Polynomials Output feedback Fuzzy systems Lyapunov methods

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Relaxed Stability Analysis and Event-Triggered controller Design for Discrete-Time Positive T-S Fuzzy Networked control Systems

Relaxed Stability Analysis and Event-Triggered Controller De...

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Annual Conference of industrial Electronics Society

作者： Xiaoxiao Wang Xiaomiao Li Zhiyong Bao Fucai Liu Yuehao Du Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

This paper deals with the relaxation stability analysis and event-triggered controller design of discrete-time positive Takagi-Sugeno (T-S) fuzzy networked control systems (FNCSs). The constraints of positive conditions in NCSs bring significant challenges to stability analysis and controller design. A 1-norm event-triggered scheme is proposed for the positive system, which can effectively reduce the frequency of network communication. Since the event-triggered T-S fuzzy controller (ETTSFC) can only observe the latest transmission state after the triggering action, the ETTSFC selects the premise variables different from the T-S fuzzy model, improving design and implementation flexibility. Using the linear copositive Lyapunov function (LCLF), the design criteria of the event-triggered controller to ensure the positivity and stability of the closed-loop system are derived. To relax the sum-of-squares (SOS) based conservative condition, we adopt the Taylor series membership functions (TSMFs) and introduce TSMFs and their approximation error into the stability conditions. Finally, an example is given to illustrate the effectiveness of the design.

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An Improved Seagull Optimization Algorithm for Flexible Job-shop Scheduling Problem

An Improved Seagull Optimization Algorithm for Flexible Job-...

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

作者： Kai Ma Shijie Yao Shiliang Guo Bin Yang Shuai Li Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

Job-shop scheduling problem is the core link and key technology to realize smart factory and develop smart manufacturing technology. Among them, the flexible job-shop scheduling problem (FJSP) which is more consistent with the actual production and processing mode has been focused. This paper proposes an improved seagull optimization algorithm(ISOA) for solving the FJSP. The ISOA uses chaos initialization and reverse learning to optimize initial population, and introduces Q-learning to change the fitting parameters to balance global search and local search. In addition, we propose a local search model that is adaptive iterative process to enhance the algorithm's optimization search capability. The results of the experiment proved that the algorithm is superior in terms of optimization speed and scheduling results.

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Improved Lightweight YOLOv5 Based on GhostNet and Its Application in Target Board Detection for Ladle Nozzle Positioning 43

Improved Lightweight YOLOv5 Based on GhostNet and Its Applic...

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43rd Chinese control Conference, CCC 2024

作者： Si, Fengfei Fang, Yiming Ju, Hao Zhao, Dongliang Xin, Jingliang Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao066004 China Yanshan University Eng. Res. Center of the Education Ministry for Intelligent Control System and Intelligent Equipment Qinhuangdao066004 China Tangshan Branch Hbis Company Limited Tangshan063016 China

ISBN: (纸本)9789887581581

The detection of the target board of ladle nozzle positioning is the basis of automatic loading and unloading of ladle nozzle by ladle robot in continuous casting. Due to the complex situation of high temperature, dust, backlight and so on, the target board of ladle nozzle positioning is prone to false detection or low detection accuracy, and it is difficult to take into account the contradiction between rapidity and detection accuracy. Therefore, this paper proposes an improved lightweight algorithm GVP-YOLOv5 (YOLOv5 with GhostNet, VoVGSCSP and Pruning), which takes into account both detection accuracy and rapidity, to detect the target board for ladle nozzle positioning. Firstly, Ghost module is used to improve the backbone network of YOLOv 5 as the backbone feature extraction network to reduce the number of parameters and calculation of the backbone. Then in the neck, the GSConv module is used to design a thin neck structure, which can ensure the multi-scale feature fusion capability and further reduce the complexity of the network. Finally, the model pruning technology is used to prune the whole model, and the channels with small scaling factor are removed to compress the model to the greatest extent, so as to meet the requirements of industrial field application deployment. The experimental results show that the lightweight GVP-YOLOv5 algorithm proposed in this paper can complete the real-time detection of the target board in complex industrial scenarios. Compared with the original YOLOv5s algorithm, the number of parameters in the model is reduced by 82.6 %, and the size of the model is significantly reduced to 19.4 %. At the same time, the detection accuracy is maintained at more than 95 % on mAP @ 50: 95 and the detection speed is effectively improved. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Continuous casting

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Face Inpainting Based on Gan Multi-Dimensional Consistency Guidance

SSRN

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SSRN 2024年

作者： Li, Yaqian Zhan, Xin Li, Haibin Zhang, Wenming Hebei Provincial Key Laboratory of Industrial Computer Control Engineering Yanshan University Qinhuangdao066004 China

A B S T R A C TThe averageness of low-frequency features and the unreliability of high-frequency features result in identity deviations in the inpainted faces. To address this problem, a two-stage generative model is proposed, which includes structural prior guidance and multidimensional consistency guidance. Firstly, a parsing inpainting module was designed to predict structural information. Subsequently, a multidimensional information guidance module was constructed, which, based on semantic consistency guidance, extracts low-frequency confidence information of the inpainted image to suppress the averageness of facial inpainting. Frequency-domain information is extracted from the inpainted image, combined with a facial recognition network, and the frequency-domain identity feature consistency loss is calculated to aid in the inpainting of high-frequency information, including identity features, thus achieving identity consistency in facial inpainting. © 2024, The Authors. All rights reserved.

关键词： Face recognition

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