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2022 Chinese Automation Congress, CAC 2022

作者： Lan, Jiejie Jiang, Xiaowei Zhang, Xianhe You, Le School of Automation China University of Geosciences Wuhan430074 China Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing400065 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China School of Electrical Engineering and Automation Hubei Normal University Huangshi435002 China

ISBN: (纸本)9781665465335

In this letter, leader-following consensus of a nonlinear MASs satisfying Lipschitz conditions with partial actuator saturation constraints is investigated First of all, an impulse control protocol which only requires local information of agents and their neighbors is proposed. Then, using Lyapunov stability theory, impulse control theory, and algebraic graph theory, sufficient conditions for the consensus of multi-agent systems are provided. Ultimately, numerical simulations are employed to show that the research findings are accurate. © 2022 IEEE.

关键词： Multi agent systems

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Stability Analysis for Amplidyne Electrical systems with Time-Varying Delay via a Negative-Determination Quadratic Function Lemma

Stability Analysis for Amplidyne Electrical Systems with Tim...

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第42届中国控制会议

作者： Hong-Jian Huang Hong-Zhang Wang Yu-Long Fan Ke-You Xie Chuan-Ke Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

In this paper, the stability of Amplidyne Electrical systems(AESs) with a time-varying delay is studied. Firstly,the model of AESs with a time-varying delay is established. Secondly, an augmented Lyapunov-Krasovskii functional(LKF)is constructed. Then, a less conservative delay-dependent stability criterion for AESs with a time-varying delay is obtained by utilizing the generalized reciprocally convex combination and an advanced negative-determination quadratic function ***, the superiority and effectiveness of the proposed criterion is verified by a numerical example.

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A Feature Difference Network for Defect Detection on the Surface with complex Pattern of Ceramic Tile

A Feature Difference Network for Defect Detection on the Sur...

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第42届中国控制会议

作者： Jianru Xiong Jianqi An Xing-ao Wang Huimin Ou Xin Chen School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

The surface defects of ceramic tile greatly affect the service life of ceramic *** present,many detection methods of ceramic tile surface defects are mostly used for ceramic tiles with monochrome background or simple ***,many tiles with complex and irregular surface patterns are used in practical applications,but many methods cannot effectively detect surface defects in such *** paper presents a double input feature difference network structure to overcome the ***,a double input channel is constructed to extract features from the template image and the defect image ***,a method of feature difference is performed at different depths to suppress the background interference and prevent misclassification between different defect *** a parameter-free attention module is embedded in the backbone to improve the ability of feature *** results show that this model effectively improves the mean average accuracy of 8.3%and the recall rate of 11.7%.

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Stability analysis of delayed T-S fuzzy systems via the fuzzy line-integral method

Stability analysis of delayed T-S fuzzy systems via the fuzz...

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第42届中国控制会议

作者： Zhou-Zhou Liu Li Jin Yong He School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

This paper focuses on the problem of stability analysis for Takagi-Sugeno systems with time-varying delays. Firstly,a suitable Lyapunov-Krasovskii functional(LKF) containing fuzzy line-integral Lyapunov functional is constructed, which can introduce membership functions information while avoiding emerging the time-derivatives of membership functions. Then, a generalized free-matrix-based integral inequality is applied to estimate the derivative of the LKF. As a result, a less conservative stability criterion is obtained. Finally, a numerical example is carried out to illustrate the effectiveness and merits of our method.

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Optimal Carbon Capture,Utilization and Storage Planning for Multi-Energy System

Optimal Carbon Capture,Utilization and Storage Planning for ...

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第42届中国控制会议

作者： Aoyu Hu Da Xu Menglu Gao School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

In response to the national dual carbon policy,carbon capture,utilization and storage（CCUS） are currently attracting much *** paper proposes optimal CCUS planning for multi-energy *** this multi-energy system,transmission network and natural gas network are coupled via conversion and storage devices in the energy *** CCUS planning is formulated based on a source-sink matching method to analyze the CO capture points,CO storage points and CO transportation ***,the original CCUS planning problem is reformulated as a mixed integer second order cone programming（MISOCP） and subsequently solved to guarantee a satisfactory convergence *** studies on an urban multienergy system are implemented to verify the effectiveness and superiority of the proposed methodology over conventional scheme.

关键词： Networked system carbon reduction energy hub

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Deep Domain Adaptation Regression for Force Calibration of Optical Tactile Sensors

Deep Domain Adaptation Regression for Force Calibration of O...

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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Zhuo Chen Ni Ou Jiaqi Jiang Shan Luo Department of Engineering Robot Perception Lab Centre for Robotics Research King’s College London London United Kingdom State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

Optical tactile sensors provide robots with rich force information for robot grasping in unstructured environments. The fast and accurate calibration of three-dimensional contact forces holds significance for new sensors and existing tactile sensors which may have incurred damage or aging. However, the conventional neural-network-based force calibration method necessitates a large volume of force-labeled tactile images to minimize force prediction errors, with the need for accurate Force/Torque measurement tools as well as a time-consuming data collection process. To address this challenge, we propose a novel deep domain-adaptation force calibration method, designed to transfer the force prediction ability from a calibrated optical tactile sensor to uncalibrated ones with various combinations of domain gaps, including marker presence, illumination condition, and elastomer modulus. Experimental results show the effectiveness of the proposed unsupervised force calibration method, with lowest force prediction errors of 0.102N (3.4% in full force range) for normal force, and 0.095N (6.3%) and 0.062N (4.1%) for shear forces along the x-axis and y-axis, respectively. This study presents a promising, general force calibration methodology for optical tactile sensors.

关键词： Accuracy Force Tactile sensors Lighting Elastomers Data collection Optical imaging Adaptive optics Calibration Optical sensors

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A multiple-time-scale control strategy for burden distribution and blast supply of a BF

A multiple-time-scale control strategy for burden distributi...

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第35届中国控制与决策会议

作者： Yunpeng Guo Jianqi An Guoyu Zhao Min Wu Qingyi Wang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

The operations of blast furnaces(BFs) are very vital for the long-term stability of the iron making *** burden distribution and blast supply are the two major operation systems of *** present,the researches are lack effective adjustment methods for the BF operations combined with burden distribution and blast *** burden distribution affects the iron making process on a long time scale,while the blast supply afects the iron making process on a short time *** paper presents a multi-time sampling-data adjustment strategy for the BF operations aiming at optimizing *** multiple time ***,this paper analyzes the relationship between the gas utilization ratio(GUR) and the burden distribution,the blast supply on multiple time ***,this paper establishes a prediction model of *** the long time scale and the short time scale based on autoregressive integrated moving average(ARIMA).Next,this paper provides a control strategy of burden distribution and a control strategy of blast supply by a prediction model based on support vector regression(SVR).Finally,this paper makes experiments and applies this method in a real-world *** analysis of the results shows the control strategy of the BF operations provides a good guide on making a suitable decision for burden distribution and blast supply.

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State Estimation for Markov Jump Genetic Oscillator Networks Based on Hidden Markov Model

State Estimation for Markov Jump Genetic Oscillator Networks...

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第42届中国控制会议

作者： Banming Ruan Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

This paper addresses the problem of state estimation for Markov jump genetic oscillator networks with time-varying delays based on hidden Markov model. Two non-identical types of time-varying delays, that is, the intercellular coupling delay,and the regulatory delay are considered in consideration in genetic oscillator networks. Then a state estimator is designed by solving a set of linear matrix inequalities that can be solved with existing software. Finally, The effectiveness of state estimation approach can then be demonstrated through a numerical example.

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3D Single-pixel imaging with active sampling patterns and learning based reconstruction

arXiv

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arXiv 2022年

作者： Ma, Xinyue Wang, Chenxing School of Automation Southeast University 2# Sipailou Xuanwu Nanjing210096 China Key laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing210096 China

Single-pixel imaging (SPI) is significant for applications constrained by transmission bandwidth or lighting band, where 3D SPI can be further realized through capturing signals carrying depth. Sampling strategy and reconstruction algorithm are the key issues of SPI. Traditionally, random patterns are often adopted for sampling, but this blindly passive strategy requires a high sampling rate, and even so, it is difficult to develop a reconstruction algorithm that can maintain higher accuracy and robustness. In this paper, an active strategy is proposed to perform sampling with targeted scanning by designed patterns, from which the spatial information can be easily reordered well. Then, deep learning methods are introduced further to achieve 3D reconstruction, and the ability of deep learning to reconstruct desired information under low sampling rates are analyzed. Abundant experiments verify that our method improves the precision of SPI even if the sampling rate is very low, which has the potential to be extended flexibly in similar systems according to practical needs. Copyright © 2022, The Authors. All rights reserved.

关键词： Pixels

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Stability analysis of discrete networked systems with network induced delay and malicious packet dropout based on a matrix transformation method

Stability analysis of discrete networked systems with networ...

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第42届中国控制会议

作者： Meng-Ying Zhou Wen-Hu Chen Chuan-Ke Zhang Ya-Xin Hou Ke-You Xie School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

This paper is concerned with the stability of discrete-time networked control systems with network induced delay and malicious packet dropout. Firstly, network induced delay and malicious packet dropout are analyzed, and the data packet dropout is converted into the change rate of time delay. Secondly, the functional of time delay and change rate of time delay is constructed,and some summation terms are generated when calculating the functional forward difference. Moreover, the auxiliary-functionbased summation inequality and reciprocally convex matrix inequality are used to estimate the resulting summation terms. Then,a less conservative stability criterion for discrete networked systems with network delay and data packet loss is ***, the validity of the proposed stability criterion is illustrated by a numerical example.

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