检索结果-内蒙古大学图书馆

11th International Conference on Modelling, Identification and control (ICMIC)

作者： Shen, Tong Huang, Jian Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

ISBN: (纸本)9789811504747;9789811504730

In this paper, a high gain trajectory tracking control method is proposed for the pneumatic muscle actuator with the tracking errors converging in a finite-time interval. Firstly, we design the sliding surface that ensure the system tracking error reach it within a finite time. Then, an controller with a disturbance observer is designed, which achieves the convergence of the errors within a finite time. At last, numerical simulations, which compare high-gain finite time control with normal finite time control, demonstrate the validity of the method we proposed.

关键词： Pneumatic muscle actuator Tracking control Finite-time control

来源：评论

学校读者我要写书评

暂无评论

Deep transfer learning-based decoder calibration for intracortical brain-machine interfaces

引用

Computers in Biology and Medicine 2025年第PT A期192卷 110231-110231页

作者： Li, Xiao Dong, Xianxin Wang, Jun Mao, Haodong Tu, Xikai Li, Wei He, Jiping Li, Qiang Zhang, Peng Hubei Key Laboratory of Modern Manufacturing Quantity Engineering School of Mechanical Engineering Hubei University of Technology Wuhan430068 China Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Hubei Wuhan China MoE Key Laboratory for Biomedical Photonics Collaborative Innovation Center for Biomedical Engineering School of Engineering Sciences Huazhong University of Science and Technology Hubei Wuhan China The Key Laboratory of Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Hubei Wuhan China Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing China

Intracortical brain-machine interfaces (iBMIs) aim to establish a communication path between the brain and external devices. However, in the daily use of iBMIs, the non-stationarity of recorded neural signals necessitates frequent recalibration of the iBMI decoder to maintain decoding performance, which requires collecting and labeling a large amount of new data. To address this challenge and minimize the time needed for decoder recalibration, we proposed an active learning domain adversarial neural network (AL-DANN). This model leveraged a substantial volume of historical data alongside a small amount of current data (four samples per category) to calibrate the decoder. By incorporating domain adversarial and active learning strategies, the model effectively transferred knowledge from historical data to new data, reducing the demand for new samples. We validated the proposed method using neural signals recorded from three monkeys performing different movements in a classification task or a regression task. The results showed that the AL-DANN outperformed existing state-of-the-art methods. Impressively, it required only four new samples per category for decoder recalibration, leading to a recalibration time reduction of over 80 %. To our knowledge, this is the first study to incorporate deep transfer learning into iBMI decoder calibration, highlighting the significant potential of applying deep learning technologies in iBMIs. © 2025

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Multiple-Target Surrounding and Collision Avoidance With Second-Order Nonlinear Multiagent Systems

引用

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2021年第8期68卷 7454-7463页

作者： Hu, Bin-Bin Zhang, Hai-Tao Wang, Jun Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Peoples R China City Univ Hong Kong Dept Comp Sci Kowloon Tong Hong Kong Peoples R China City Univ Hong Kong Sch Data Sci Kowloon Tong Hong Kong Peoples R China

This article proposes an equal-distance surrounding control method for second-order nonlinear multiagent systems (MASs) to encircle multiple moving targets with guaranteed collision avoidance. First, a distributed estimator is developed to approximate the center of moving targets. Then, an adaptive distributed control law is designed for the MASs to accomplish equal-distance surrounding collaboratively. In particular, conditions for assuring asymptotical stability for the closed-loop MAS are derived. Finally, experimental results with unmanned surface vessels are reported to substantiate the effectiveness of the proposed coordinated surrounding control method.

关键词： Collision avoidance Vehicle dynamics Estimation Protocols Artificial neural networks Target tracking Topology Collision avoidance multiagent systems (MASs) surrounding control unmanned surface vessels

来源：评论

学校读者我要写书评

暂无评论

Towards Environmentally Adaptive Odor Source Localization: Fuzzy Levy Taxis Algorithm and Its Validation in Dynamic Odor Plumes 5

Towards Environmentally Adaptive Odor Source Localization: F...

引用

5th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM)

作者： Chen, Xinxing Huang, Jian Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

ISBN: (纸本)9781728164793

In this paper, we propose a bio-inspired Fuzzy Levy Taxis algorithm to solve the robotic odor source localization problem in dynamic odor plumes. According to the proposed algorithm, the robot is programmed to move for a length with a turning angle at each step until reaching the odor source. The movement length and the turning angle follow two specific probability distribution, of which the parameters are adaptive through a fuzzy logic system. The proposed algorithm was compared with the Adaptive Levy Taxis algorithm in simulated pseudo-Gaussian plumes. Our proposed algorithm shows a higher success rate and efficiency. The algorithm has also been systematically evaluated in simulated filament-based odor plumes under various environmental conditions. The results revealed that the performance of the proposed algorithm is consistently good in various environmental conditions in terms of success rate, number of steps and distance overhead to find the odor source.

关键词： Probability distributions

来源：评论

学校读者我要写书评

暂无评论

Integrated optimization of Order Batching and Distribution based on EDA 32

Integrated optimization of Order Batching and Distribution b...

引用

32nd Chinese control And Decision Conference (CCDC)

作者： Feng, Shunli Shen, Yindong Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158556

The order picking and distribution are two necessary activities in logistics, the cost of which accounts for a considerable portion of the logistics cost. Although there are dependencies between these two activities, a lot of work has been carried out on them independently;hence, the optimization may be compromised. This paper proposes an integrated order batching and distribution model. The objectives are to minimize the makespan (including picking time and delivery time) and to minimize the number of delivery trips. To solve the integrated model, an EDA approach is devised, in which an elaborate encoding/decoding method is employed and an incremental learning probability model is designed. Experiments show that the proposed integrated model and its solution approach can lead to a significant reduction in the total cost (weighted sum of the makespan and the number of delivery trips).

关键词： Order Batching Order picking Logistics Distribution EDA approach

来源：评论

学校读者我要写书评

暂无评论

Optimal Fault Detection Observer Design using Excluding Degree 61

Optimal Fault Detection Observer Design using Excluding Degr...

引用

IEEE 61st Conference on Decision and control (CDC)

作者： Xu, Feng Wan, Yiming Wang, Ye Tsinghua Univ Shenzhen Int Grad Sch Div Informat Sci & Technol Shenzhen 518055 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Minist Educ Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Univ Melbourne Dept Elect & Elect Engn Parkville Vic 3010 Australia

ISBN: (纸本)9781665467612

This paper proposes a novel optimal gain design method for robust fault detection using set-valued observers. First, a new fault detection performance specification is proposed for set-valued observers based on a new notion named the excluding degree of the origin from a zonotope. Second, a fractional programming problem is formulated to describe fault detection optimality of set-valued observers. Third, optimal fault detection gains are obtained by solving the fractional programming problem. Finally, numerical examples are used to illustrate the effectiveness of the proposed method.

关键词： Fault detection

来源：评论

学校读者我要写书评

暂无评论

Root cause analysis and diagnosis of solid oxide fuel cell system oscillations based on data and topology-based model

引用

APPLIED ENERGY 2020年 267卷

作者： Zhong, Xiaobo Xu, Yuanwu Liu, Yanlin Wu, Xiaolong Zhao, Dongqi Zheng, Yi Jiang, Jianhua Deng, Zhonghua Fu, Xiaowei Li, Xi Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Educ Minist Wuhan 430074 Hubei Peoples R China Wuhan Univ Sci & Technol Coll Comp Sci & Technol Hubei Prov Key Lab Intelligent Informat Proc & Re Wuhan 430081 Hubei Peoples R China

Solid oxide fuel cell system is a energy conversion device with the advantages of low emissions, high efficiency and long life. However, the occurrence and propagation of oscillations are common in a system. When certain variables oscillate, the lifetime of system is significantly reduced and the output electrical characteristics are affected. Therefore, it is important to analyze and diagnose the root cause of solid oxide fuel cell system oscillations to prevent the propagation of the oscillations. An independent solid oxide fuel cell system consists of multiple subsystems, and each subsystem consists of multiple process variables. It is not easy to locate the root cause of the oscillations accurately. A combination of data-driven causality and topology-based model is adopted in this paper, which provides a complete procedure for diagnosing system oscillations. First, the method of combining principal component analysis and oscillation significance index is chosen to select feature variables. Then the data-driven Granger causality analysis is applied to provide reliable diagnosis of oscillation source. Finally, the diagnosis result is further enhanced by topology-based model which takes process connectivity and knowledge into account. Through analysis and system experiment, the source of oscillations Feed CH4 PV is successfully found. The result shows that the method based on the combination of data and topology model can accurately locate the root cause of oscillations.

关键词： Solid oxide fuel cells system Oscillation root cause diagnosis Granger causality Topology-based model

来源：评论

学校读者我要写书评

暂无评论

Green supply chain network design considering chain-to-chain competition on price and carbon emission

引用

COMPUTERS & INDUSTRIAL ENGINEERING 2020年 145卷

作者： Wang, Jian Wan, Qian Yu, Mingzhu Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Sch Artificial Intelligence & Automat Educ Wuhan 430074 Peoples R China Shenzhen Univ Coll Management Inst Big Data Intelligent Management & Decis Shenzhen 518060 Peoples R China

In this paper, we study the competitive and sustainable supply chain network design problem. We consider the chain-to-chain competition between two supply chains. The problem is divided into two stages. The retail price and carbon emission equilibrium at the competition stage are studied. Then, the equilibrium results of the competition stage are substituted into the network design stage as constraints. To address the computational complexity of large-scale problems, a Benders decomposition algorithm is proposed. Through computational studies we find that (1) considering carbon emission competition in the supply chain lowers both the total optimized cost and carbon emission;(2) the carbon emissions of the total supply chain network increases with the probability of capacity satisfaction;(3) the proposed Benders decomposition algorithm outperforms CPLEX for large scale problems.

关键词： Supply chain network design Carbon emission Competition Chance constrained programming Benders decomposition algorithm

来源：评论

学校读者我要写书评

暂无评论

Extended-range electric vehicle-oriented thermoelectric surge control of a solid oxide fuel cell system

引用

APPLIED ENERGY 2020年 263卷

作者： Wu, Xiao-long Xu, Yuan-wu Zhao, Dong-qi Zhong, Xiao-bo Li, Dong Jiang, Jianhua Deng, Zhonghua Fu, Xiaowei Li, Xi Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Educ Minist Wuhan 430074 Hubei Peoples R China Wuhan Univ Sci & Technol Coll Comp Sci & Technol Hubei Prov Key Lab Intelligent Informat Proc & Re Wuhan 430081 Hubei Peoples R China

As an extended-range electric vehicle energy supply technology with high efficiency, solid oxide fuel cell thermoelectric surge has a negative impact on power stable output and energy conversion efficiency of vehicle during the dynamic process. In this paper, a black box mathematical model is identified using a kW-scale SOFC system with a reformer. This model includes the dynamic characteristics of key components (BOP) such as the stack, reformer, heat exchanger, and afterburner. Then, the model is simplified effectively to 7 input x 3 output mode. Compared with the actual SOFC system, the model identification accuracy is 86%, which takes 3.78s. Further, the system model and data are used to analyze the balance of plant response. It is found that the system thermoelectric safety is closely related with the steam to carbon ratio. Based on the analysis results of thermoelectric surge phenomenon, a data-driven predictive control strategy is developed to guarantee the system thermal safety and steady power generation by the cooperative control of fuel and air flow rate. The test results show that the proposed predictive controller solves effectively the system thermoelectric surge problem, and improve the energy conversion efficiency for extended-range electric vehicle.

关键词： Solid oxide fuel cells system Thermoelectric safety Predictive control Model identification Energy conversion efficiency Extended-range electric vehicle

来源：评论

学校读者我要写书评

暂无评论

UAV-Aided Secure Communication With Deployment Optimization and Cooperative Jamming 11

UAV-Aided Secure Communication With Deployment Optimization ...

引用

11th International Conference on intelligent control and Information processing, ICICIP 2021

作者： Li, Hongbing Wu, Juan Luo, Lei Xiong, Jiang Chongqing Three Gorges University Key Lab. of Intelligent Information Processing and Control of Chongqing Municipal Institutions Chongqing Engineering Research Center of Internet of Things and Intelligent Control Technology Wanzhou China Chongqing Three Gorges University Chongqing Key Laboratory of Geological Environment Monitoring and Disaster Early-Warning Wanzhou China Beijing University of Posts and Telecommunications School of Artificial Intelligence Beijing China

ISBN: (纸本)9781665425155

This paper investigates the jointly transmit power and unmanned aerial vehicle (UAV)/jammer deployment optimization problem for UAV enabled jammer-assisted secure communication systems, where a jammer is exploited to assist transmitting data from a source node to a legitimate destination node in the presence of multiple eavesdroppers. To increase the secrecy energy efficiency, which is defined as the achievable secrecy rate per energy consumption unit, we formulate a secrecy energy efficiency maximization problem by jointly optimizing the transmit power and UAV/jammer deployment. The resulting optimization problem is shown to be a non-convex and fractional optimization problem, which is challenging to solve. As such, we decompose the original problem into two sub-problems, and then, an efficient iterative algorithm is proposed by leveraging the extensive search method and Dinkelbach method in combination with successive convex approximation (SCA) techniques. Numerical simulation results show that the proposed scheme significantly improves the secrecy energy efficiency of the system. © 2021 IEEE.

关键词： Energy efficiency

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：