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Chinese control Conference (CCC)

作者： Huicheng Zheng Le Liu Yiming Fang Qiang Li Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao Hebei CN

Aiming at the problem about the nonlinear function and the mechanical zero offset in the vibration system of continuous casting mold driven by servo motor, a discrete auto disturbance rejection control (ADRC) with nonlinear function processing algorithm is proposed. Firstly, for the nonlinear multi solutions problem existing between rotation angle and displacement of mold, a nonlinear algorithm is proposed to get the practical phase difference of eccentric shaft. The algorithm is achieved by calculating the time difference between ideal time of arrival and actual time of arrival at the same position. Secondly, the mathematical model of vibration system is discretized by using the Euler method, and an ADRC is designed to estimate the eccentric shaft mechanical zero offset and load disturbance, and then compensate and weaken the position error. Finally, the simulation results demonstrate the feasibility of the proposed method.

关键词： Vibrations Servomotors Casting Shafts Process control Algorithm design and analysis Synchronous motors

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A Novel A-ESO Composited Non-recursive control Methodology for Complex High-order Disturbed Nonlinear Systems

A Novel A-ESO Composited Non-recursive Control Methodology f...

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第42届中国控制会议

作者： Cong Zhang Shiji Liu Shuang Liu School of Electrical Engineering Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University

This paper mainly focuses on a disturbance rejection control methodology for a series of mismatched and matched disturbed complex ***,a novel finite-time arbitrary-order extended state observer(A-ESO) is proposed to accurately estimate the system states,disturbances,and their corresponding order *** then,a novel concise non-recursive control ideology utilizing all the estimations of A-ESO is proposed to strictly guarantee finite-time stability and convergence of the whole closed-loop ***,compared with the existing non-recursive control methods,the essential characteristic is that all the estimation information is utilized to construct the composite *** will be tremendously conducive to cost-saving and promoting practical implementations.

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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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Event-Triggered Robust Model Predictive control for Multi-Agent Systems Under Hybrid Attacks

Event-Triggered Robust Model Predictive Control for Multi-Ag...

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第42届中国控制会议

作者： Yongxin Yin Jianxiong Li Chongyi Gao Yiming Fang Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Department of Electromechanical Engineering Tangshan University

In this paper,the consensus control problem for multi-agent systems（MASs） suffering hybrid attacks is discussed,in which the hybrid attacks include randomly occurring deception attacks on system dynamic behavior and denial-of-service attacks（DoS）.An event-triggered robust model predictive control（RMPC） method is presented to achieve the consensus of MASs under hybrid *** can be proved that the consensus errors can be asymptotic with prescribed H performance,the sufficient condition for stability can be given in terms of linear matrix inequalities（LMIs）,and the controller gains are obtained by solving an optimization problem involving some *** the event-triggered mechanism with maximum trigger interval,not only can not only save computation time and facilitate the efficiency of the shared resources but also can effectively be responsible for the negative impact of cyber-attacks on system ***,simulation results are given to illustrate the validity and effectiveness of the proposed method.

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Integrative approach for predicting drug-target interactions via matrix factorization and broad learning systems

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Mathematical Biosciences and engineering 2024年第2期21卷 2608-2625页

作者： Xu, Wanying Yang, Xixin Guan, Yuanlin Cheng, Xiaoqing Wang, Yu College of Computer Science & Technology Qingdao University Qingdao266071 China School of Automation Qingdao University Qingdao266071 China Key Lab of Industrial Fluid Energy Conservation and Pollution Control Ministry of Education Qingdao University of Technology Qingdao266520 China School of Mechanical & Automotive Engineering Qingdao University of Technology Qingdao266520 China

In the drug discovery process, time and costs are the most typical problems resulting from the experimental screening of drug-target interactions (DTIs). To address these limitations, many computational methods have been developed to achieve more accurate predictions. However, identifying DTIs mostly rely on separate learning tasks with drug and target features that neglect interaction representation between drugs and target. In addition, the lack of these relationships may lead to a greatly impaired performance on the prediction of DTIs. Aiming at capturing comprehensive drug-target representations and simplifying the network structure, we propose an integrative approach with a convolution broad learning system for the DTI prediction (ConvBLS-DTI) to reduce the impact of the data sparsity and incompleteness. First, given the lack of known interactions for the drug and target, the weighted K-nearest known neighbors (WKNKN) method was used as a preprocessing strategy for unknown drug-target pairs. Second, a neighborhood regularized logistic matrix factorization (NRLMF) was applied to extract features of updated drug-target interaction information, which focused more on the known interaction pair parties. Then, a broad learning network incorporating a convolutional neural network was established to predict DTIs, which can make classification more effective using a different perspective. Finally, based on the four benchmark datasets in three scenarios, the ConvBLS-DTI’s overall performance out-performed some mainstream methods. The test results demonstrate that our model achieves improved prediction effect on the area under the receiver operating characteristic curve and the precision-recall curve. ©2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://***/licenses/by/4.0)

关键词： Learning systems

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Adaptive and impulsive cluster synchronization of a general complex dynamical network

Adaptive and impulsive cluster synchronization of a general ...

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2010 International Conference on Networking, Sensing and control, ICNSC 2010

作者： Shi, Bingxiong Lu, Junan Lü, Jinhu Yu, Xinghuo College of Mathematics and Statistics State Key Lab. of Software Engineering Wuhan University Wuhan 430072 China Key Laboratory of Systems and Control Institute of Systems Science Chinese Academy of Sciences Beijing 100190 China School of Electrical and Computer Engineering RMIT University Melbourne 3000 Australia School of Electrical and Computer Engineering RMIT University Melbourne VIC 3001 Australia

ISBN: (纸本)9781424464531

Recently, cluster synchronization has attracted an increasing interest in various disciplines, includingmathematics, physics, and engineering sciences. This paper further investigates the cluster synchronization of a complex dynamical network by using adaptive and impulsive control techniques, respectively. Based on a complex dynamical network with two different clusters, several adaptive and impulsive cluster synchronization criteria are then proposed. It should be especially pointed out that the dynamics and its dimensions of the individual dynamical systems are different in the two different clusters. Also, some numerical simulations are given to verify the effectiveness of the above theoretical results. ©2010 IEEE.

关键词： Dynamical systems

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Tension control study in the finishing mill of aluminum hot rolling mills based on PSO+CMAC

Tension control study in the finishing mill of aluminum hot ...

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2013 3rd International Conference on Advanced Measurement and Test, AMT 2013

作者： Yang, Jing-Ming Chen, Li Wan-Hong, Wang Che, Hai-Jun Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China National Engineering Research Center for Equipment and Technology of C.S.R Yanshan University Qinhuangdao 066004 China Henan Mingtai Al. Industrial Co. Ltd of Gongyi Henan Province 451200 China

ISBN: (纸本)9783037857168

Aimed at decreasing the tension variation during transforming process of "1+4" aluminum hot rolling mills unit in one factory of Henan, we analyzed the factors affecting tension variation and improved the tension formula of hot rolling mills process considering the influence of tension on forward slip value. The tension forming process of hot rolling mills from stand 1 to stand 4 is simulated, and the tension structure diagrams of the four-stands are constructed. Due to nonlinear characteristics of the aluminum hot rolling mills tension system, conventional PID controller could not meet the requirement of the system. So we proposed the mixed control of Cerebellar Model Articulation controller (CMAC) coupled with PID to solve the problem of online parameters control and we used Particle Swarm Optimization (PSO) algorithm to optimize PID controller parameters. By simulation, it could be found that the using of PSO+CMAC significantly reduced surplus adjustment and transition time, and strip tension coupling degree among stands was also reduced. © (2013) Trans Tech Publications, Switzerland.

关键词： Aluminum

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A constructive procedure based on dynamic scaling for adaptive control of nonlinearly parameterized nonlinear systems

A constructive procedure based on dynamic scaling for adapti...

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作者： Liu, Xiangbin Ortega, Romeo Su, Hongye Chu, Jian Advanced Control Systems Laboratory School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 China Laboratoire des Signaux et Systèmes CNRS SUPELEC 91192 Gif-sur-Yvette France State Key Lab. of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9783902661937

A new framework to design immersion and invariance adaptive controllers for nonlinearly parameterized, nonlinear systems was recently proposed by the authors. The key step is the construction of a monotone mapping, via a suitable selection of a controller tuning function, which has to satisfy some integrability conditions|this translates into the need to solve a partial differential equation (PDE). In this paper this result is extended providing some answers to the questions of characterization of "monotonizable" systems and solvability of the PDE. First, adding to the design a nonlinear dynamic scaling, we obviate the need to solve the PDE. Second, for the case of factorizable nonlinearities, the following results are established. (i) It is shown that the monotonicity condition is satisfied if a linear matrix inequality is feasible. (ii) Directly verifiable involutivity conditions that ensure the solution of the PDE are presented. (iii) An explicit formula for the required tuning function is given, provided the regressor matrix satisfies some rank conditions. Hence, adding a dynamic scaling, this yields a constructive solution to the problem. © 2011 IFAC.

关键词： Nonlinear systems

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Gap Metric Based Gridding and Improved Integrated Multimodel H∞ Loop-shaping control

Gap Metric Based Gridding and Improved Integrated Multimodel...

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第23届过程控制会议

作者： Jingjing Du Wei Qian Chunyue Song School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 State Key Lab. of Industrial Control Technology Institute of Industrial Process Control Zhejiang U

A gridding algorithm based on gap metric is proposed for multimodel control of nonlinear systems. In contrast to the common evenly distributed gridding algorithm used in multimodel decomposition, the proposed gap metric based gridding algorithm aims to reduce reliance on previous knowledge and experience and makes the gridding more systematic and more reasonable. Based on the proposed gridding algorithm, an improved integrated multimodel H∞ loop-shaping control is developed, which realizes information symmetry between local linear model selection and local controller design, and raises the efficiency of multimodel controller design largely.

关键词： Gap metric Gridding Integrated Multimodel control H∞ loop-shaping control.

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Fast 3d-Graph Convolutional Networks for Skeleton-Based Action Recognition

SSRN

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SSRN 2022年

作者： Zhang, Guohao Wen, Shuhuan Li, Jiaqi Che, Haijun Department of Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao066004 China

Research on human action recognition based on skeleton has received a lot of attention. But most of the research focuses on improving the generalization ability of the model, while ignoring significant efficiency issues. This leads to the development of heavy models with poor scalab.lity and cost-effectiveness in practical use. In this paper, we investigate the under-studied but practically critical recognition model efficiency problem. To this end, we present a new Fast Recognition Distillation (FRD) model learning strategy. Specifically, FRD trains a lightweight recognition neural network structure that can be quickly executed at low computational cost. It can be achieved by effectively disseminating the identification probability information of the teacher network to the lightweight network. We call the probability information of the teacher network as soft-target, and FRD can learn more potential information from soft-target. In addition, we also used a special loss function for soft-target. Through the FRD network, while basically maintaining the recognition accuracy, we minimized the network structure. Extensive experiments on the two large-scale datasets, NTU-RGBD and Kinetics-Skeleton, demonstrate that our model (FRD) is more lightweight and refined than other models. Therefore, our model FRD is very practical. © 2022, The Authors. All rights reserved.

关键词： Distillation

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