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42nd Chinese control Conference, CCC 2023

作者： Zhang, Cong Liu, Shiji Liu, Shuang School of Electrical Engineering Yanshan University Hebei Qinhuangdao066004 China Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Hebei Qinhuangdao066004 China

ISBN: (纸本)9789887581543

This paper mainly focuses on a disturbance rejection control methodology for a series of mismatched and matched disturbed complex systems. Firstly, a novel finite-time arbitrary-order extended state observer (A-ESO) is proposed to accurately estimate the system states, disturbances, and their corresponding order derivatives. And then, a novel concise nonrecursive control ideology utilizing all the estimations of A-ESO is proposed to strictly guarantee finite-time stability and convergence of the whole closed-loop system. Significantly, compared with the existing nonrecursive control methods, the essential characteristic is that all the estimation information is utilized to construct the composite controller. This will be tremendously conducive to cost-saving and promoting practical implementations. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Disturbance rejection

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Redundancy reduction penalty term of loss function in deep neural network

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Knowledge-Based Systems 2025年

作者： Xueheng Hu Shuhuan Wen H.K. Lam Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment Yanshan University Qinhuangdao China Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China Key Laboratory of Intelligent Control and Neural Information Processing Ministry of Education Yanshan University Qinhuangdao 066004 Hebei Province China The Department of Engineering King’s College London London WC2R 2LS United Kingdom

In this paper, we propose a novel regularization algorithm that is introduced as a penalty term to the loss function. Differing from conventional L1 and L2 regularization methods, our approach does not aim to diminish the weights of individual neurons or enforce sparsity by driving certain neurons to zero. Instead, it functions by increasing the differences between neurons and enhancing the diversity of neurons within each layer. Our method incorporates ensemble learning techniques by treating the layer weight matrix as a collective learning model, where each neuron serving as a weak learner within the layer. The proposed algorithm improves the performance of DCNN by simultaneously considering the distance between multiple filters in the same layer. This algorithm reduces the redundancy of the parameter layer filters in DCNN and enhances its robustness. The penalty term proposed by our algorithm dynamically adjusts its value in a cyclical manner, compelling the neural network to navigate away from its current gradient state. In the parameter space, different weights correspond to different locations. The proposed algorithm quantifies the distance between neurons and iteratively increases the distance between neurons during thereby encouraging greater diversity within the network. Experimental evaluations demonstrate the effectiveness of our algorithm in enhancing neural network performance without requiring adjustments to other hyper-parameters.

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Modeling Based on BP Neural Network for Non-sinusoidal Vibration Displacement control System of Continuous Casting Mold Driven by Servo Motor 35

Modeling Based on BP Neural Network for Non-sinusoidal Vibra...

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第35届中国控制会议

作者： MA Zhuang FANG Yiming LIU Le KANG Kesong Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Tangshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling

ISBN: (纸本)9781509009107

In order to improve the displacement control precision of continuous casting mold, the establishment of precise mathematical model of non-sinusoidal vibration displacement control system is important. The modeling method of BP neural network optimized by genetic algorithm is adopted, which can solve the problem of the mechanism modeling of various approximate treatments. Firstly the system model of BP neural network is constructed according to the measured data received from industrial field. Secondly, BP neural network model of genetic optimization is built. Then simulations are eventually performed, and then by comparing the error between the predicted displacement outputs of BP neural network optimized by genetic algorithm and the actual output displacement of the system, the simulation results show that the system error of the identified model is within 4%, and the identification method of BP neural network optimized by genetic algorithm is superior to the mechanism modeling.

关键词： continuous casting mold servo motor non-sinusoidal vibration BP neural network genetic algorithm

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An designing of oxygen saturation detection module based on ZigBee technology

An designing of oxygen saturation detection module based on ...

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International Conference on Machine Learning and Cybernetics

作者： Wang, Hong-Rui Liu, Yu-Ming Gao, Chao Liu, Xiu-Ling Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qin Huang Dao 066004 China Lab of Electronic and Information Engineering Hebei University Baoding 071002 China

ISBN: (纸本)9781424465262

In this paper, the technology of ZigBee based on wireless sensor network was adopted to carry out the real-time oxyhemoglobin saturation monitoring. C8051F340 was used to control UZ2400 as MCU(Micro control Unit). Electricity was consumed less than 2mA when it worked and electricity was consumed less than 1μA when it slept. This system can prolong the life time of battery effectively. And the system avoided tedious A/D conversion which the traditional sensor needs and its measure precision is good. © 2010 IEEE.

关键词： Hemoglobin

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Distributed Resilient Frequency control Based on Estimation of Sensor and Actuator Attacks in AC Microgrids 48

Distributed Resilient Frequency Control Based on Estimation ...

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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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Adaptive robust control for uncertain nonlinear systems with time-varying delay

Adaptive robust control for uncertain nonlinear systems with...

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2010 8th IEEE International Conference on control and Automation, ICCA 2010

作者： Shi, Shengli Fang, Yiming Li, Jianxiong Key Lab. of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao Hebei 066004 China College of Science Yanshan University Qinhuangdao Hebei 066004 China

ISBN: (纸本)9781424451951

The problem of adaptive robust control for uncertain nonlinear systems with time-varying delay is considered in this paper. The upper bound of the uncertainty is assumed to be nonlinear functions with unknown coefficients. By using adaptive control method, a class of adaptive robust state feedback controller is proposed. Based on Lyapunov-Krasovskii method and Lyapunov stability theory, it is shown that the controller designed can render the uniform asymptotic stability of the system. Finally, a numerical example is given to show the controller is valid. © 2010 IEEE.

关键词： controllers

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An Improved Artificial Potential Field Method for Formation control and Obstacle Avoidance of the Multi-Agents Systems

An Improved Artificial Potential Field Method for Formation ...

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2023 China Automation Congress, CAC 2023

作者： Yan, Yubiao Li, Jianxiong Dong, Haibo Gao, Chongyi Fang, Yiming Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao China Tangshan University Department of Electromechanical Engineering Tangshan China

ISBN: (纸本)9798350303759

Obstacle avoidance is a significant research content in multi-agents formation control. The obstacle avoidance of multi-agents systems is investigated in this paper, and an improved artificial potential field method (IAPF) is proposed to avoid unknown obstacles in multi-agent formation. Aiming at improving the efficiency of formation avoidance and solving the non-reachable and local minima problems, the dynamic sub-target algorithm is proposed. The proposed method enables the multi-agent system (MASs) to avoid obstacles smoothly and quickly and complete formation tasks in complex environments by tracking dynamic sub-target as well, in which the position and motion direction of adjacent agents are taken into account in the selection of a sub-target for the formation efficiency. In addition, a variable potential field range is defined to ensure the safety of the formation. Finally, several simulation results verify the superiority and effectiveness of the proposed approach. © 2023 IEEE.

关键词： Multi agent systems

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Optimal Resource Allocation Scheme for RIS-Assisted Vehicular Networks 43

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

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43rd Chinese control Conference, CCC 2024

作者： Chen, Wenxuan Su, Jiawei Liu, Zhixin Yanshan University School of Electrical Engineering Qinhuangdao066004 China Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Hebei Province Qinhuangdao066004 China

ISBN: (纸本)9789887581581

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 shifters. However, the dynamic network environment and complex multi-user interference seriously affect network reliability. Enhancing transmission powers blindly cannot solve the interference problem but also reduces the transmission efficiency of the RIS-based vehicular networks. To address the above challenges, this paper proposed a joint optimization scheme of transmission beamforming and phase shift. Based 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 developted. Simulation results have demonstrated that the transmission rate has been improved with the assistance of RIS, with the multi-user interference effect being well-depressed. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Resource allocation

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Multi-objective optimization of rolling schedules for aluminum hot tandem rolling based on improved NSGA-II 34

Multi-objective optimization of rolling schedules for alumin...

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第三十四届中国控制会议

作者： CHE Hai-ju HU Zi-yu YANG Jing-ming National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University

ISBN: (纸本)9781467374439

The quality and yield of products in the process of aluminum hot rolling is affected seriously by the load distribution. The load distribution of the hot tandem rolling is actually a problem of multi-objective optimization(MOO. The model of the rolling schedule was established based on slippage factor, which was also set as an optimization objective. In this paper, an improved NSGA-II is applied to optimize the rolling schedule of aluminum hot tandem rolling. This paper also proposed a method to select the best solution based on the preference after process of the improved NSGA-II. This method shows its ability on the slippage preventing and load distribution.

关键词： Multi-objective optimization Genetic algorithms aluminum hot tandem rolling load distribution

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Robust MPC algorithm for discrete-time systems with time-varying delay and nonlinear perturbations

Robust MPC algorithm for discrete-time systems with time-var...

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作者： Li, Jianxiong Fang, Yiming Shi, Shengli Institute of Electrical Engineering Key Lab. of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

ISBN: (纸本)9787894631046

A robust model predictive control (MPC) algorithm is presented for a class of discrete-time uncertain systems with time-varying delay, input constraints and norm-bounded nonlinear perturbations. By minimizing the upper bound of a cost function, an MPC state feedback control law is calculated at each step. The proposed MPC method for delayed system is delay-dependent, and it is effective to deal with nonlinear perturbations. It has been shown that the robust stability of the closed-loop systems is guaranteed by the proposed algorithm. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

关键词： Model predictive control

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