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检索条件"机构=China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System"

共 1559 条记录，以下是121-130 订阅

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Research on Energy Storage control Strategy Considering Economy 41

Research on Energy Storage Control Strategy Considering Econ...

引用

第41届中国控制会议

作者： Zihan Zhang Zhijian Fang Jie Cai Wenhe Peng 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

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Energy storage system is generally used to ensure the stability and reliability of *** the system generally contains multiple energy storage units,and due to the process,material and other aspects of the limitation,the initial state of charge(SOC) of each energy storage unit cannot be guaranteed to be completely equal,which leads to the shortening of the life of energy storage unit,and affect the economic benefits of energy storage system ***,this paper analyzes the influence conditions between energy storage units according to the calculated formula of energy storage unit *** value of charge between energy storage systems is analyzed through the active power output of the system,and then the difference is obtained by comparing the value of charge of each energy storage unit with the average value of charge of each *** the iterative algorithm is used to update the state of each node,and the balance factor is introduced to gradually reduce the difference on the basis of droop control to optimize and control the output of these energy storage nodes to achieve SOC *** the economic benefits such as maintenance cost of energy storage system are ***,a working model of microgrid is established and the feasibility and economy of this method are verified by simulation.

关键词： Economy Micro grid Energy storage system Droop control SOC balance

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Research on Virtual USB Storage in Remote File Transfer 41

Research on Virtual USB Storage in Remote File Transfer

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第41届中国控制会议

作者： Jie Li Weihua Cao Zhicheng Zhao Han Peng 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

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Virtual USB storage technology is an application technology that integrates Universal Serial Bus(USB) virtualization,file system virtualization and reliable file data transfer,which is often applied to virtual file transfer in data *** the current traditional virtual USB storage technology relies on specific software and poor system compatibility,this paper proposes a hardware-based virtual USB storage solution that uses the built-in USB driver of each operating system to map the local USB storage device to the remote controlled server to achieve file reading and *** show that the scheme proposed in this paper has the advantages of simple implementation,good system compatibility,safe and stable *** technology has been successfully applied to the data room management of an enterprise.

关键词： USB storage virtualization file transfer remote mapping

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Image Semantic Segmentation Scheme based on XGBoost combination with Convolution Feature Extraction 41

Image Semantic Segmentation Scheme based on XGBoost combinat...

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第41届中国控制会议

作者： Zichen Dai Xuewen Liu Chi Xu 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

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Aiming at the problem that the existing image semantic segmentation schemes based on convolutional neural network require a large number of training data sets and high training cost,this paper presents a novel scheme for image semantic segmentation based on extreme gradient boosting(XGBoost),a scalable tree boosting system and the combination of convolution feature extraction(CFE).The scheme consists of three ***,convolution operation is performed on a small amount of RGB pixel information of the image processed by Gaussian filtering to acquire more multi-dimensional image feature ***,some preprocessing techniques of image feature information,including feature normalization and image label pixel number uniformity are performed to match the ***,the preprocessed image feature information and corresponding labels are input into XGBoost to train and predict the data of the test *** simulation and practical tests,compared with other commonly used few data classification algorithms like k-Nearest-Neighbor(kNN) and Support-VectorMachine(SVM),this scheme can achieve high precision pixel-level image semantic segmentation under the condition of lower training cost.

关键词： Image Semantic Segmentation Convolutional Feature Extraction XGBoost Gaussian Filtering Low Training Cost

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Optimizing Bounding Box Regression in complex Backgrounds

Optimizing Bounding Box Regression in Complex Backgrounds

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2024 china automation Congress, CAC 2024

作者： Chen, Jun Zhang, Haiyan Yu, Anjun Wang, Yiwei 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 Wuhan430074 China Jiangxi Ganyue Expressway Co.Ltd. Nanchang China School of Automation China University of Geosciences Wuhan430074 China

ISBN: (纸本)9798350368604

In the context of electrical power operation sites, the automated and accurate detection of whether workers are properly equipped with safety gear, such as safety clothing, helmets, and safety ropes for high-altitude operations, is crucial for ensuring the safety of personnel. Traditional object detection models often struggle to accurately identify these critical pieces of safety equipment in complex environments, due to variable object sizes, overlapping objects, and substantial background noise. To specifically address these challenges, we propose a novel loss function-Enhanced Alignment Intersection over Union (EAIoU) loss. This loss function is designed to enhance the model’s ability to discriminate between closely spaced and overlapping safety gear in real-time, significantly improving robustness against scale variations and complex backgrounds. In experiments based on the YOLOv8s architecture, our model achieved a mean Average Precision (mAP) of 92.1% on a dataset specific to electrical power operations, markedly outperforming traditional IoU loss functions. Additionally, EAIoU demonstrated improved performance on the COCO dataset, indicating its generalization capability across various complex scenarios. This research not only enhances the accuracy and real-time performance of safety equipment detection at electric power operation sites but also opens new avenues for advanced object detection technology in complex, multi-object environments. © 2024 IEEE.

关键词： Safety devices

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Stability Analysis for Delayed Neural Networks via a Relaxed Negative-Determination Quadratic Function Method 41

Stability Analysis for Delayed Neural Networks via a Relaxed...

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第41届中国控制会议

作者： Yu-Long Fan Ke-You Xie Xing-Chen Shangguan Hongzhang Wang 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

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper presents an improved stability condition for neural networks with a time-varying ***,an improved Lyapunov-Krasovskii functional(LKF) is constructed by introducing the delay-product term and the augmented ***,a less conservative delay-dependent stability criterion for neural networks with a time-varying delay is established by utilizing the generalized reciprocally convex combination and a relaxed quadratic function ***,a numerical example is used to illustrate the merit and effectiveness of the proposed stability criterion.

关键词： Neural Networks Time-varying Delay Stability Analysis Reciprocally Convex Matrix Inequality NegativeDetermination Method

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An Improved Exponential Stability Criterion of Generalized Neural Networks With Intermittent Large-Delay Periods 41

An Improved Exponential Stability Criterion of Generalized N...

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第41届中国控制会议

作者： Jin-Meng Xu Yong He Wen-Hu Chen Zhe-Li Yuan 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

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper focuses on the exponential stability analysis of generalized neural networks(GNNs) with time-varying delays,where the time delays include several intermittent large-delay periods(LDPs).First,the improved piecewise augmented Lyapunov-Krasovskii functional(LKF) candidate is constructed based on the delay-dependent state ***,some advanced inequalities are adopted to estimate the derivative of LKF *** with switching techniques,an exponential stability criterion with less conservativeness is *** last,a numerical example is used to verify the advantage of the proposed criterion.

关键词： Time-varying delay Switched delay system Large-delay period Exponential stability

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Model Predictive control for Interval Type-2 T-S Fuzzy systems Under New Dynamic Event-Triggered Mechanism 41

Model Predictive Control for Interval Type-2 T-S Fuzzy Syste...

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第41届中国控制会议

作者： Chaoling Zhang 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

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we focus on dynamic event-triggered model predictive control(MPC) problem for interval type-2 Takagi-Sugeno(IT2 T-S) fuzzy systems with hard constraints on the state.A dynamic event-triggered mechanism(DETM) with two adjusting variables is devised to reduce data transmission *** MPC problem is formulated as a "min-max" problem over the infinite *** purpose is to find a series of desired sub-controllers in terms of MPC such that the underlying IT2 T-S fuzzy system is asymptotically *** taking the T-S fuzzy nonlinearities and the DETM into consideration,we give the design method of the controller through an online auxiliary optimization problem with several constraint conditions.A simulation example is used to demonstrate the effectiveness and the validity of the proposed methods.

关键词： Dynamic event-triggered mechanism adjusting variables model predictive control interval type-2 T-S fuzzy systems

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Global Practical Sampled-data for a Class of Stochastic Nonlinear systems 41

Global Practical Sampled-data for a Class of Stochastic Nonl...

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第41届中国控制会议

作者： Qing Chang Shiqi Zheng Jiachun Sun Tao Song Liangguang Li 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

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we mainly study the global tracking problem for stochastic systems by the sampled data state feedback *** the condition of lower-triangular,the sampled data state feedback controller is constructed to make the states globally bounded,and the error between the system output and the reference signal is less than the specified allowable *** the same time stochastic phenomenon is considered in the nonlinear *** global tracking performance and stochastic stability are both achieved simultaneously.

关键词： Stochastic systems nonlinear systems state feedback sampled-data controllers

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Hybrid Group Consensus of Multi-agent systems with Time-delays and Additive Noises 41

Hybrid Group Consensus of Multi-agent Systems with Time-dela...

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第41届中国控制会议

作者： Chuanjian Li Xiaofeng Zong 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

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The hybrid group consensus of multi-agent systems that consist of two groups in environments with time-delays and additive noises is studied in this *** hybrid group consensus implies that the agents in one group achieve strong consensus and the agents in another group achieve weak consensus.A new type of control protocol is proposed to achieve the following hybrid group consensus behavior:the agents in the first group and in the second group achieve strong consensus and weak consensus,*** sufficient conditions are obtained for the hybrid group consensus problem in both mean square and almost sure ***,a simulation example is given to illustrate the feasibility of the theoretical results.

关键词： multi-agent system hybrid group consensus time-delays additive noises

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An Improved Synchronization Criterion for Time-Delayed Lur'e systems via Cubic Function Negative-Determination Lemma 42

An Improved Synchronization Criterion for Time-Delayed Lur'e...

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42nd Chinese control Conference, CCC 2023

作者： Peng, Yu-Fei Fan, Yu-Long He, Yong Shangguan, Xing-Chen School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9789887581543

In this paper, the master-slave synchronization issue of chaotic Lur' e systems with time-varying-delay feedback control is investigated. Firstly, the synchronization problem of chaotic system is transformed into the stability problem of chaotic synchronization error system, which is studied based on Lyapunov-Krasovskii functional (LKF) method. Secondly, a novel augmented LKF with more cross terms that related to time-varying delay is proposed. Based on the application of the relaxation integral inequality and the reciprocally convex matrix inequality, an improved synchronization criterion is derived by using the cubic function negative-determination lemma. Finally, a numerical simulation example demonstrates the effectiveness and advantages of the proposed methods. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Synchronization

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