检索结果-内蒙古大学图书馆

Adaptive cubature Kalman filter with the estimation of correlation between multiplicative noise and additive measurement noise

引用

Chinese Journal of Aeronautics 2022年第5期35卷 40-52页

作者： Quanbo GE Zhongcheng MA Jinglan LI Qinmin YANG Zhenyu LU Hong LI School of Electronics and Information Engineering Tongji UniversityShanghai 201804China Institute of Systems Science and Control Engineering School of AutomationHangzhou Dianzi UniversityHangzhou 310018China State Key Laboratory of Industrial Control Technology and the College of Control Science and EngineeringZhejiang UniversityHangzhou 310027China Jiangsu Key Laboratory of Meteorological Observation and Information Processing Nanjing University of Information Science and TechnologyNanjing 210044China Chinese Flight Test Establishment Xi’an 710089China

Mobile robots are often subject to multiplicative noise in the target tracking tasks,where the multiplicative measurement noise is correlated with additive measurement *** this paper,first,a correlation multiplicative measurement noise model is *** is able to more accurately represent the measurement error caused by the distance sensor dependence ***,the estimated performance mismatch problem of Cubature Kalman Filter(CKF)under multiplicative noise is *** improved Gaussian filter algorithm is introduced to help obtain the CKF algorithm with correlated multiplicative *** practice,the model parameters are unknown or inaccurate,especially the correlation of noise is difficult to obtain,which can lead to a decrease in filtering accuracy or even *** address this,an adaptive CKF algorithm is further provided to achieve reliable state estimation for the unknown noise correlation coefficient and thus the application of the CKF algorithm is ***,the estimated performance is analyzed theoretically,and the simulation study is conducted to validate the effectiveness of the proposed algorithm.

关键词： Adaptive CKF Correlated noise Estimation accuracy Multiplicative noise Performance analysis Target tracking

来源：评论

学校读者我要写书评

暂无评论

Sliding Mode Speed control Strategy of Permanent Magnet Synchronous Motor with Disturbance Compensation 5

Sliding Mode Speed Control Strategy of Permanent Magnet Sync...

引用

5th International Conference on Electronic engineering and Informatics, EEI 2023

作者： Jing, Rui Du, Chao Shi, Yong-Sheng School of Electrical and Control Engineering Shaanxi University of Science & Technology Shaanxi Xi'an China

ISBN: (纸本)9798350327076

Due to the high efficiency of permanent magnet synchronous motor, small loss, and good control performance, it is widely used in various industries. However, it was found in the reading literature that the control performance of the permanent magnet synchronous motor speed regulating system is easily affected by factors such as load changes and internal parameter passage, which causes the permanent magnet synchronous motor to be affected to some extent during the operation. In response to the problem of the non -high accuracy of the PI current control system of permanent magnet synchronous motor, it proposes to use the rhythm design sliding mode speed controller instead of the PI controller in the vector control. However, due to the existence of a certain shaking of the sliding mold control, this article observes and compensate the load torque by designing the method of disturbing the observer, thereby suppressing the shaking of the sliding mode speed controller, and finally reaching the anti - disturbance performance of the control system and the improvement of the control system The effect of robustness. Through the simulation test of Matlab/Simulink, the sliding mode speed controller and disturbance observed observed were better verified under the influence of the system. © 2023 IEEE.

关键词： Speed control

来源：评论

学校读者我要写书评

暂无评论

A survey of the opacity of discrete event systems 6

A survey of the opacity of discrete event systems

引用

6th International Conference on Advanced Electronic Materials, Computers, and Software engineering, AEMCSE 2023

作者： Gu, Chan Liang, Qunyue School of Electrical and Control Engineering Shaanxi University of Science and Technology Xian710021 China

ISBN: (纸本)9781510668249

In recent years, with the widespread application of information network technology, information security has become increasingly important. More information leaks occur during the exchange of information flows, and opacity is a very important concept in the exchange of system information flows. It refers to the inability of external intruders to observe and infer the nature of key system behaviors through system non secret behaviors. "Opacity"is an inherent attribute of a system. The related research on opacity is widely used in various industrial control fields to meet system security and privacy requirements. This article summarizes and compares various definitions and implementation methods related to the research on opacity in discrete event systems, and analyzes their respective use scenarios and differences based on the characteristics of various types of opacity;The mathematical conditions and complexity of various opacity implementations are summarized, and the complexity of different implementations is compared. The reasons for the different complexity of different implementations are analyzed;Finally, according to the current development direction of opacity research, the future research direction of opacity is prospected. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Discrete event simulation

来源：评论

学校读者我要写书评

暂无评论

Optimized Design of Landscape Lighting control System Based on FPGA 4

Optimized Design of Landscape Lighting Control System Based ...

引用

4th International Conference on Information science, Parallel and Distributed Systems, ISPDS 2023

作者： Zhang, Yujie Sun, Haomai Shaanxi University of Science and Technology School of Electrical and Control Engineering Shaanxi Xi'an China

ISBN: (纸本)9798350337181

In view of the insufficient adaptability between the lighting fixture wiring and the control system, as well as the problem of asynchronous video playback among multiple players due to random frame loss, this paper presents an optimized design of the landscape lighting control system based on Field-Programmable Gate Array (FPGA). In-depth research is conducted on the arrangement of pixel data and extraction of video frame numbers in the system. Firstly, a landscape lighting control system is built with the aim of achieving landscape lighting display. Subsequently, pixel data addressing and package modules are introduced to enhance the system's adaptability to lighting fixture layout and wiring. Furthermore, a video frame number extraction module is designed to accurately extract specific frame data and ensure its transmission within the system, thereby avoiding frame loss. Experimental verification demonstrates that the system can adapt to different lighting fixture wiring requirements and ensure synchronization of video playback across multiple players. This optimization solution improves the system's universality and flexibility, providing strong support for the development of landscape lighting control systems. © 2023 IEEE.

关键词： control systems

来源：评论

学校读者我要写书评

暂无评论

A hybrid-model optimization algorithm based on the Gaussian process and particle swarm optimization for mixed-variable CNN hyperparameter automatic search

引用

Frontiers of Information Technology & Electronic engineering 2023年第11期24卷 1557-1573页

作者： Han YAN Chongquan ZHONG Yuhu WU Liyong ZHANG Wei LU School of Control Science and Engineering Dalian University of TechnologyDalian 116024China

Convolutional neural networks(CNNs)have been developed quickly in many real-world ***,CNN’s performance depends heavily on its hyperparameters,while finding suitable hyperparameters for CNNs working in application fields is challenging for three reasons:(1)the problem of mixed-variable encoding for different types of hyperparameters in CNNs,(2)expensive computational costs in evaluating candidate hyperparameter configuration,and(3)the problem of ensuring convergence rates and model performance during hyperparameter *** overcome these problems and challenges,a hybrid-model optimization algorithm is proposed in this paper to search suitable hyperparameter configurations automatically based on the Gaussian process and particle swarm optimization(GPPSO)***,a new encoding method is designed to efficiently deal with the CNN hyperparameter mixed-variable ***,a hybrid-surrogate-assisted model is proposed to reduce the high cost of evaluating candidate hyperparameter ***,a novel activation function is suggested to improve the model performance and ensure the convergence *** experiments are performed on image-classification benchmark datasets to demonstrate the superior performance of GPPSO over state-of-the-art ***,a case study on metal fracture diagnosis is carried out to evaluate the GPPSO algorithm performance in practical *** results demonstrate the effectiveness and efficiency of GPPSO,achieving accuracy of 95.26%and 76.36%only through 0.04 and 1.70 GPU days on the CIFAR-10 and CIFAR-100 datasets,respectively.

关键词： Convolutional neural network Gaussian process Hybrid model Hyperparameter optimization Mixed-variable Particle swarm optimization

来源：评论

学校读者我要写书评

暂无评论

A hybrid heuristic method for multi-color spraying path planning 41

A hybrid heuristic method for multi-color spraying path plan...

引用

第41届中国控制会议

作者： Qihang Zhang Xin Ma Center for Robotics School of Control Science and EngineeringShandong University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Path planning is the primary task for multi-color *** paper formulates multi-color spraying path planning as a generalization of the Traveling Salesman Problem(TSP).The spraying patterns with single/dual-nozzle spray gun are given ***,multi-color spray path planning of single nozzle spray gun is described as a Clustered Traveling Salesman Problem(CTSP).Greedy randomized adaptive search procedure(GRASP) and variable neighborhood search(VNS) are applied to solution of the ***,multi-color spray path planning of dual-nozzle spray gun is defined as set-Clustered Traveling Salesman Problem(set-CTSP),which is NP-hard similar to *** propose a new hybrid heuristic algorithm to obtain the minimum path of the spray gun *** initial solution of the path is obtained from the color combination probability and *** neighborhood structure of the solution is continuously changed by four variable neighborhood search operators,and the color combination probability is updated according to the distance cost of the corresponding ***,extensive experiments with different sizes and patterns have be done verifying the feasibility of multi-color spray path planning based on single nozzle gun and dual-nozzle spray gun,while the dual-nozzle spray gun can reduce the gun travel distance compared to the single-nozzle spray gun.

关键词： Spray path planning Hybrid heuristic Traveling Salesman Problem

来源：评论

学校读者我要写书评

暂无评论

Scale Adaptive Skip-ASP Pixel Voting Network for Monocular 6D Object Pose Estimation 42

Scale Adaptive Skip-ASP Pixel Voting Network for Monocular 6...

引用

42nd Chinese control Conference, CCC 2023

作者： Wu, Li Ma, Xin Center for Robotics School of Control Science and Engineering Shandong University Jinan250061 China

ISBN: (纸本)9789887581543

Estimating the 6D object pose from an RGB image is a challenging task in computer vision. While keypoint-based methods have recently demonstrated promising results, they are still inferior when dealing with small objects in the image. Aiming at this problem, we perform an in-depth pose error analysis on the keypoint-based methods and propose a Scale Adaptive Skip-ASP Pixel Voting Network (SASA-PVNet), which adaptively scales small objects in the input image to a suitable size and scales the output 2D keypoints back to the original input image during PnP. We also design a Skip-ASP module between the encoder and decoder in the framework to reduce the effects of distortion and blur caused by scaling the input image through multi-scale information fusion. Experiments demonstrate that our method outperforms the state-of-the-art on the LINEMOD dataset by a large margin and obtains competitive results on the Occlusion LINEMOD dataset. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Pixels

来源：评论

学校读者我要写书评

暂无评论

Strengthened Dominance Relation NSGA-Ⅲ Algorithm Based on Differential Evolution to Solve Job Shop Scheduling Problem

引用

Computers, Materials & Continua 2024年第1期78卷 375-392页

作者： Liang Zeng Junyang Shi Yanyan Li Shanshan Wang Weigang Li School of Electrical and Electronic Engineering Hubei University of TechnologyWuhan430068China Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System Hubei University of TechnologyWuhan430068China School of Information Science and Engineering Wuhan University of Science and TechnologyWuhan430081China

The job shop scheduling problem is a classical combinatorial optimization challenge frequently encountered in manufacturing *** involves determining the optimal execution sequences for a set of jobs on various machines to maximize production efficiency and meet multiple *** Non-dominated Sorting Genetic Algorithm Ⅲ(NSGA-Ⅲ)is an effective approach for solving the multi-objective job shop scheduling ***,it has some limitations in solving scheduling problems,including inadequate global search capability,susceptibility to premature convergence,and challenges in balancing convergence and *** enhance its performance,this paper introduces a strengthened dominance relation NSGA-Ⅲ algorithm based on differential evolution(NSGA-Ⅲ-SD).By incorporating constrained differential evolution and simulated binary crossover genetic operators,this algorithm effectively improves NSGA-Ⅲ’s global search capability while mitigating pre-mature convergence ***,it introduces a reinforced dominance relation to address the trade-off between convergence and diversity in NSGA-Ⅲ.Additionally,effective encoding and decoding methods for discrete job shop scheduling are proposed,which can improve the overall performance of the algorithm without complex *** validate the algorithm’s effectiveness,NSGA-Ⅲ-SD is extensively compared with other advanced multi-objective optimization algorithms using 20 job shop scheduling test *** experimental results demonstrate that NSGA-Ⅲ-SD achieves better solution quality and diversity,proving its effectiveness in solving the multi-objective job shop scheduling problem.

关键词： Multi-objective job shop scheduling non-dominated sorting genetic algorithm differential evolution simulated binary crossover

来源：评论

学校读者我要写书评

暂无评论

A Four-Step Teaching Pedagogy of Gradient, Divergence and Curl in Electromagnetic Field and Waves Course 17th

A Four-Step Teaching Pedagogy of Gradient, Divergence and Cu...

引用

17th International Conference on Computer science and Education, ICCSE 2022

作者： Zhao, Lanying Su, Boli He, Xiuling Luo, Qingshan Wang, Li School of Electronic Science and Control Engineering Institute of Disaster Prevention Langfang065201 China

ISBN: (纸本)9789819924455

As vector functions of space and time, electromagnetic field is conceptually abstract and hard to visualize which brings obstacles to students’ understanding. Vector analysis, including not only the vector algebra but also the gradient, divergence and curl operation, maybe the first level barrier and also foundations of following learn of electromagnetic field and electromagnetic waves. In this paper, a four-step teaching pedagogy containing analogy, traditional lecture, visual graphic display and manual programming experiment was proposed and MATLAB software was applied in the visualization teaching of gradient, divergence and curl with its excellent programming and simulation ability. Demonstration of simulations in classroom teaching and manual programming in experimental teaching were both implemented to enhance student comprehension and learning of vector operations, overcome major hurdles raised by a lack of mathematics knowledge, and benefits for the electromagnetic fields and waves course would be reflected gradually. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Visualization

来源：评论

学校读者我要写书评

暂无评论

Dynamic Multi-Objective Optimization for Gas Turbine Operation 42

Dynamic Multi-Objective Optimization for Gas Turbine Operati...

引用

42nd Chinese control Conference, CCC 2023

作者： Liu, Heng Xia, Hao School of Control Science and Engineering Dalian University of Technology Liaoning Dalian116024 China

ISBN: (纸本)9789887581543

This paper presents a systematic method for the optimal settings of gas turbine operation under changing environment. After building the high-fidelity model of the gas turbine, four decision variables including fuel flow, high and low pressure compressor variable inlet guide vane and cooling coefficient were selected, while the pollutant emissions, cost of gas turbine and system output power are chosen as response variables to be optimized. A dynamic multi-objective optimization algorithm based on segmented prediction (DMOEA-BSP) has been developed to find the optimal operating conditions under the varying ambient pressure and temperature. Comparing to the classical DNSGA-II algorithm, the simulation showed that proposed DMOEA-BSP algorithm achieves a better operating performance. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Gas turbines

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：