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Design and implementation of Gaussian filter for nonlinear system with randomly delayed measurements and correlated noises

Design and implementation of Gaussian filter for nonlinear s...

引用

第42届中国控制会议

作者： Weijie Cui Xinmei Wang Qian Hu Fei Du 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

A new Gaussian approximate(GA) filter for nonlinear systems with one-step randomly delayed measurement and correlated noise is proposed in this ***,a general framework of Gaussian filter is designed under Gaussian assumption on the conditional ***,the implementation of Gaussian filter is transfomed into the approximation of the Gaussian weighted integral in the proposed ***,a new cubature Kalman filtering(CKF)algorithm is developed on the basis of the spherical-radial cubature *** efficiency and superiority of the proposed method are illustrated in the numerical examples.

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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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Model Predictive Load Frequency control for Power systems Under New Event-triggered Mechanism

Model Predictive Load Frequency Control for Power Systems Un...

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第42届中国控制会议

作者： Ziqian Wang Fan Wei 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

In this article, we pay attention to event-based model predictive control(MPC) for load frequency control of multiarea power system. Considering the practical issues, the inputs are subject to hard constraints. A novel dynamic event-triggered mechanism(DETM) which contains an additive internal dynamic variable and an adjusting variable is designed to reduce data transmission burden. The MPC problem is expressed as a "min-max" optimisation problem. By considering the effects of load disturbances and the DETM, we give the design approach for the controller which integrates H2 and H∞ performance indexes through an auxiliary optimization problem. A simulation example is provided to verify the effectiveness of the proposed algorithm.

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A SINS Error Correction Approach Based on Dual-Threshold ZV Detection and Cubature Kalman Filter

A SINS Error Correction Approach Based on Dual-Threshold ZV ...

引用

2023 IEEE International Conference on systems, Man, and Cybernetics, SMC 2023

作者： Xu, Ruijie Chen, Shichao Sun, Wenqiao Lv, Yisheng Luo, Jialiang Tang, Ying Institute of Automation Chinese Academy of Sciences College of Information Science & Technology Beijing University of Chemical Technology The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Institute of Automation Chinese Academy of Sciences The Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Transportation and Economics Research Institute The Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited Beijing China Institute of Automation Chinese Academy of Sciences The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Institute of Automation Chinese Academy of Sciences China University of Geosciences Beijing School of Information Engineering The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Rowan University Department of Electrical and Computer Engineering Glassboro United States

ISBN: (纸本)9798350337020

Global Navigation Satellite systems (GNSS) can provide real-time positioning information for outdoor users, but cannot for indoor scenarios or heavily occluded outdoor scenarios. Strap-down Inertial Navigation System (SINS) are widely used to locate people in complex interior or heavily occluded outdoor scenarios due to its light weight and low power consumption. However, IMU of SINS are noisy, and the sampling data error is large, which is a divergence of the error with time. Therefore, it will generate a positioning accumulation error, which affects the final positioning accuracy. The problem of cumulative IMU errors is usually dealt with by Zero-Velocity Update (ZUPT). The zero-velocity detection part of basic ZUPT method usually uses a single threshold to determine the gait of pedestrian, which often has the problem of gait misjudgment and omission. To address these problems, this paper proposes a composite conditional detection method to solve the problem of misjudgment in the zero-velocity interval. In addition, we redesign the zero-velocity update algorithm and uses the Cubature Kalman filter (CKF) for pedestrian positioning error correction. The experimental results demonstrate that the proposed ZUPT method based on dual-threshold detection can better detect the interval between pedestrian motion and stationery than ones with single threshold. The zero-velocity update algorithm based on CKF has higher performance than conventional EKF and UKF methods, which constrains the cumulative error of SINS to about 0.2% of the whole walking distance. © 2023 IEEE.

关键词： Cubature Kalman Filter Inertial Pedestrian Navigation Zero-Velocity Update

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Evaluation of landslide susceptibility based on SVM with GWO algorithm

Evaluation of landslide susceptibility based on SVM with GWO...

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第42届中国控制会议

作者： Yuxuan Zeng Chengda Lu Yutong Pan Hanqi QU Min Wu 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

Since landslide is one of the most universal natural disasters in China,the study of regional landslide susceptibility evaluation is important to protect people's lives and *** paper analyzes the geospatial characteristics of the ZiguiBadong section in the Three *** Pearson correlation analysis methodselects,nine impact factors of landslide susceptibility are extracted from the aspects of topography and geomorphology,geological environment,and hydrological conditions,used to establish the evaluation index system of landslide *** the above data basis,the paper applies a support vector machine(SVM) model and an SVM model for gray wolf optimization(GWO) to the susceptibility evaluation of landslides,and product landslide susceptibility index maps according to the *** research area is divided into four regions by jenks method on the map:high-risk,medium-risk,low-risk,and very low-risk *** the accuracy,confusion matrix,and receiver operating characteristic(ROC) curve to evaluate the model,The prediction accuracy of the GWO-SVM model and the SVM model is 88.55 % and 82.82 % respectively,the comparison proves that the GWO-SVM model is much more accurate,which can provide a reference for the study of regional landslide susceptibility.

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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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Multi-Agent Coverage control with High-order Voronoi Partitions in Non-convex Environments

Multi-Agent Coverage Control with High-order Voronoi Partiti...

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第42届中国控制会议

作者： Yuming Wu Chao Zhai 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

At present, most research on the coverage of multi-agent systems is based on Euclidean distance. This does not consider the existence of obstacles and has great limitations in the application. In this paper, a kind of coverage control problem based on high-order geodesic Voronoi partition is practically investigated. It allows multiple agents to monitor an area with obstacles to achieve the monitoring of the overall environment. As a result, the geodesic distance is introduced as a metric *** on the geodesic distance, point-by-point scanning on the layer is taken to achieve high-order Voronoi diagram *** coverage algorithm can be implemented in a distributed manner through the exchange of location information with each other, and the Lloyd algorithm is added to realize the movement of the sensor toward the optimal position.

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Image Super-resolution of Residual-dense Connected Networks in Unmanned Deep-sea Exploration Equipment

Image Super-resolution of Residual-dense Connected Networks ...

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第42届中国控制会议

作者： Jiajun Chu Weihua Cao Chao Gan Yulong Yang 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

Deep-sea unmanned exploration equipment is an important tool for exploring and developing the resources in the ocean, and it can survey the deep-sea environment more visually with the help of visual images. However, the complex and variable environment and the low resolution of the underwater lens lead to the poor resolution of the images acquired by the equipment. In this paper, we propose a residual-dense connected method applied to unmanned deep-sea exploration equipment to improve it's image resolution. The method uses dense connections within the residual structure to improve the model detail information acquisition to ensure accuracy and model stability of ***, through the study of the model performance, a high precision residual-dense connected model with less computational effort is designed. Finally, the model is trained and tested using environmental images in deep-sea conditions, and it is demonstrated that the method can be applied to deep-sea unmanned exploration equipment for fast, accurate, and stable image super-resolution processing.

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Displacement prediction of landslide using SARIMA model based on seasonal characteristic

Displacement prediction of landslide using SARIMA model base...

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第42届中国控制会议

作者： Ruoxi Wu Chengda Lu Wanke Yu Min Wu Xuzhi Lai 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

Landslide displacement prediction is an important and indispensable part of landslide monitoring and *** change of the displacement is always considered being related to inducing factors,which are aimed at improving accuracy of the predicted ***,the seasonal characteristic of the displacement,which has not been carefully analyzed,reveals the law of inducing *** order to gain a deeper understanding of characteristics,the Baijiabao landslide is taken as an *** variational mode decomposition(VMD) method,which can extract effective information well,is introduced to decompose the *** the seasonal parameters,the seasonal autoregressive integrated moving average(SARIMA) model is established to predict the displacement ***,accumulative displacement prediction values are obtained by superimposing the predicted *** higher accuracy and lower error,the VMD-SARIMA model proves a better option in application compared with VMD-ARIMA,SARIMA and ARIMA models.

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Stability Analysis of a New Constant Current to Constant Voltage Power Supply System

Stability Analysis of a New Constant Current to Constant Vol...

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第42届中国控制会议

作者： Xiaoxian Song Zhijian Fang Yuangeng Xia Jie Cai Zihao Wei 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

A high-reliability constant current to constant voltage power supply system has the advantages of small volume of switching power supply,high power density,high efficiency was propos *** paper use two controllers to control the shunt regulator (SR) circuit and single-end flyback converter part,and separate the two parts for small signal modeling and give the parameters to stabilize the closed *** state space average modeling idea was used to solve the state equ ations for th e modes of the converters in a switching *** order to ensure the stability of cascade system,this paper collaborative optimization of hardware filter parameters and the appropriate PI parameter *** experimentals verify the correctness of our theory,and the system has good stability under closed-loop conditions.

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