检索结果-内蒙古大学图书馆

第37届中国控制会议

作者： Youwu Du Weihua Cao Jinhua She Mingxing Fang Zibao Lu School of Automation China University of Geosciences College of Physics and Electronic Information Anhui Normal University Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Engineering Tokyo University of Technology

An improved equivalent-input-disturbance(EID) approach is presented in this paper to promote the transient performance of disturbance rejection in the control system. A high-gain observer(HGO) is introduced to the conventional EID method to accelerate the convergence of state error. This makes the estimated disturbance tracking the exogenous disturbance more quickly and more precisely. First, the configuration of an improved EID-based control system is described. Then, a sufficient stability condition is derived in terms of a linear matrix inequality(LMI). The resulting LMI is used to find the gains of state observer and state feedback controller. Finally, the validity of the devised method and its superiority over a conventional EID method is demonstrated through the simulation of a numerical example.

关键词： Disturbance rejection disturbance estimation equivalent input disturbance（EID） high-gain observer linear matrix inequality（LMI）

来源：评论

学校读者我要写书评

暂无评论

A game theoretical approach for distributed resource allocation with uncertainty

引用

International Journal of intelligent Computing and Cybernetics 2017年第1期10卷 52-67页

作者： Lei Xue Changyin Sun Fang Yu Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of AutomationSoutheast UniversityNanjingPeople’s Republic of China

Purpose-The paper aims to build the connections between game theory and the resource allocation problem with general *** proposes modeling the distributed resource allocation problem by Bayesian *** this paper,three basic kinds of uncertainties are ***,the purpose of this paper is to build the connections between game theory and the resource allocation problem with general ***/methodology/approach-In this paper,the Bayesian game is proposed for modeling the resource allocation problem with *** basic game theoretical model contains three parts:agents,utility function,and decision-making ***,the probabilistic weighted Shapley value(WSV)is applied to design the utility function of the *** achieving the Bayesian Nash equilibrium point,the rational learning method is introduced for optimizing the decision-making process of the ***-The paper provides empirical insights about how the game theoretical model deals with the resource allocation problem uncertainty.A probabilistic WSV function was proposed to design the utility function of ***,the rational learning was used to optimize the decision-making process of agents for achieving Bayesian Nash equilibrium *** comparing with the models with full information,the simulation results illustrated the effectiveness of the Bayesian game theoretical methods for the resource allocation problem under ***/value-This paper designs a Bayesian theoretical model for the resource allocation problem under *** relationships between the Bayesian game and the resource allocation problem are discussed.

关键词： Game theory Multi-agent systems Bayesian games Resource allocation under uncertainty Paper type Research paper

来源：评论

学校读者我要写书评

暂无评论

Transfer learning from generic model to specific model for street object detection 5

Transfer learning from generic model to specific model for s...

引用

5th International Workshop on Advanced Computational Intelligence and intelligent Informatics, IWACIII 2017

作者： Liu, Wei Chen, Shu Liu, Zhen-Tao School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Japan

High accurate rate of street objects detection is significant to realize intelligent vehicles. Algorithms based on Convolution Neural Network (CNN) have already shown their reasonable performance on general object detection. For example SSD and YOLO can detection wide variety of objects on 2D images in real time, but the performance is not good enough on street objects detection especially on complex urban street environment. In this paper, instead of proposing and training a new CNN model, we use transfer learning methods to learn from generic CNN model to our specific model to achieve good performance. The transfer learning methods include fine-tuning the pretrained CNN model with self-made dataset and adjusting CNN model structure. We analyze transfer learning results on fine-tuning Single shot multibox detector (SSD) with self-made datasets. The experimental results based on transfer learning method show that the proposed method is effective.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Establishment and Optimization of Gas Flow Prediction Model for Annealing Furnace Based on GA-SVM

Establishment and Optimization of Gas Flow Prediction Model ...

引用

第37届中国控制会议

作者： Qilin Qu Yan Yuan Jin Yali Yongyue Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System School of Information Science and Engineering Central South University

The annealing furnace is an important equipment for annealing in the production process of cold rolled strip steel. The temperature accuracy of the steel coil is directly affected the production quality of the steel plate. In the annealing furnace temperature control system, strip temperature control is mainly decided by various furnace annealing furnace gas flow in the area, so setting up a precise model between gas flow and temperature has become an important problem of the control system of annealing furnace. In this paper, SVM is applied to the prediction model of the gas flow in the annealing furnace since it’s suitable for nonlinear and high dimensional problems as a machine learning method. In view of that the choice of C, G and the model parameters of the SVM directly affect the prediction precision of the model, this paper uses GA to optimize these two parameters. Finally, we use the data of field production as training and testing samples to establish and verify the model. The experimental results showed that the established model well achieved the requirements of the accuracy of the target.

关键词： Annealing furnace Gas flow Model Support Vector Machine Genetic Algorithm

来源：评论

学校读者我要写书评

暂无评论

EEG emotion recognition based on LDA and PSO-SVM 5

EEG emotion recognition based on LDA and PSO-SVM

引用

5th International Workshop on Advanced Computational Intelligence and intelligent Informatics, IWACIII 2017

作者： Liu, Zhen-Tao Xie, Qiao Cao, Wei-Hua Li, Dan-Yun Zhang, Ri Ding, Xue-Wen School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Japan

Compared with speech, facial expression, and body languages, Electroencephalogram (EEG) can reflect the inner activity of brain, by which the emotion can be recognized objectively and naturally. In this paper, an EEG emotion recognition system is proposed in which EEG signals of 6 channels are detected from Frontal Lobe and Temporal Lobe, and then the time-domain features of statistics features and frequency-domain features of spectrum centroid (SC) are extracted. To remove the redundant feature, Linear Discriminant Analysis (LDA) is used to reduce the dimension of feature. In addition, an improved classifier based on PSO-SVM is applied to classify the emotional states in the Valance-Arousal emotion model, respectively, which are defined as High-Valance (HV) and Low-Valance (LV) on the Valance dimension and High-Arousal (HA) and Low-Arousal (LA) on the Arousal dimension. EEG emotion recognition experiment on DEAP dataset is performed, from which the results show that the proposed method obtains the accuracies of 73.33% on Valance dimension and 72.78% on Arousal dimension, which are higher than those of some state-of-the art works.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

Speaker-independent speech emotion recognition based on genetic algorithm feature selection approach 5

Speaker-independent speech emotion recognition based on gene...

引用

5th International Workshop on Advanced Computational Intelligence and intelligent Informatics, IWACIII 2017

作者： Mao, Jun-Wei He, Yong Liu, Zhen-Tao Cao, Wei-Hua Xu, Jian-Ping School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control Intelligent Automation for Complex Systems China

For speech emotion recognition (SER), emotional feature set with high dimension may produce redundant features and influence the recognition rate. To solve this problem, feature selection of speaker-independent speech based on genetic algorithm (GA) is proposed, which can obtain optimal feature subset. And a four-level emotional classification method based on support vector machine (SVM) is proposed according to the confusion degree among different emotional categories. A framework of speaker-independent SER is presented and the classification experiments based on proposed methods by using Chinese speech database from institute of automation of Chinese academy of sciences (CASIA) are performed, where the speaker-independent features selected by the proposed feature selection method and Spearman correlation analysis are used for emotion recognition, respectively. The experimental results show that the proposal achieved 77.6% recognition rate on average, which is about 1.2% higher than other recognition methods. By proposal, it would be efficient to distinguish the emotional states of different speakers from speech.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Nonlinear systems modeling based on self-adaptive dual control 13

Nonlinear systems modeling based on self-adaptive dual contr...

引用

13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018

作者： Ting, Shang Fucai, Qian Shaolin, Hu Guo, Xie Hengzhan, Yang Hui, Yu School of Automation and Information Engineering Xi'an University of Technology Xi'an710048 China Autonomous Systems and Intelligent Control International Joint Research Center Xi'an Technological University Xi'an710021 China State Key Laboratory of Astronautic Dynamics Xi'an Satellite Control Center Xian710043 China

ISBN: (纸本)9781538637579

An enhanced modeling method is proposed for a class of discrete-time nonlinear stochastic dynamical systems for which an explicit linear parameterization of the uncertainty in the dynamics is either unknown or impossible. The architecture employs a network of Gaussian radial basis functions to compensate for the plant nonlinearities. A new method, combining subtractive clustering with GK fuzzy clustering, is adopted to obtain the optimal number and centers of the RBF network selfadaptively. A stable weight adjustment mechanism is then determined using Kalman filtering. Simulation results reveal that the hybrid clustering, used for RBF network training, achieves better performance for nonlinear dynamic systems modeling and function approximation. © 2018 IEEE.

关键词： Radial basis function networks

来源：评论

学校读者我要写书评

暂无评论

Intersection Scan Model and Probability Inference for Vision Based Small-scale Urban Intersection Detection 28

Intersection Scan Model and Probability Inference for Vision...

引用

IEEE intelligent Vehicles Symposium

作者： Yang Yi Li Hao Zhu Hao Shang Songtian Lyu Ningyi Song Wenjie School of Automation and State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology

ISBN: (纸本)9781509048052

Large-scale intersections stamped on maps have diverse visual features for detection, while small-scale urban intersections are hard to be identified especially when GPS signals are missing. In this paper, we propose a Hidden Markov Model (HMM) based small-scale intersection detection method utilizing monocular vision. We extract visual cues of road transformations and dynamic vehicles' tracks, and then design an Intersection Scan Model to obtain the potential traversable direction of the current road, which is the primary criterion of the intersection estimation. For better performances, we take the detections of consecutive frames into consideration and finally integrate them into HMM to estimate the probabilities of intersections. Results from KITTI datasets and real-world experiments have shown the functionality of the presented approach.

关键词： Hidden Markov models Roads Global Positioning System Vehicle dynamics Semantics Image segmentation Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Model Predictive control for Human Following Rehabilitation Robot

Model Predictive Control for Human Following Rehabilitation ...

引用

IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO

作者： Shihao Yan Jing Tao Jian Huang Anshun Xue the Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Ministry of Civil Affairs of the People's Republic of China National Research Center for Rehabilitation Technical Aids Beijing China the Beijing Advanced Innovation Center of Intelligent Robots and Systems Beijing China

A new type of rehabilitation robot that can follow the user side-by-side is designed for aiding the elderly and disabled. The Human Following Rehabilitation Robot (HFRR) consists of a metal armrest, a set of sensors and a differential mobile base. By predicting the user's speed in the future through the user's current walking speed and the preset path, the problem of human following side-by-side is converted to a problem of keeping a certain lateral distance from the predicted trajectory. Linearizing the tracking error model, the nonholonomic mobile robot (NMR) can maintain a certain lateral distance from the trajectory by using Model Predictive control (MPC) and then follow the user side-by-side. The simulation and experimental results show the proposed controller can obtain good performance in this problem.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Blockchain based Consensus Checking in Cloud Storage

Blockchain based Consensus Checking in Cloud Storage

引用

International Symposium on Autonomous Decentralized systems (ISADAS)

作者： Guanqiu Qi Zhiqin Zhu Matthew Haner Jaesung Sim Jian Sun Yi Chai Yinong Chen Li Yongfu Mathematics and Computer Information Science Mansfield University of Pennsylvania Mansfield PA 16933 USA College of Automation Chongqing University of Posts and Telecommunications Chongqing 400065 China School of Electronic and Information Engineering Southwest University Chongqing 400715 China Ministry of Education Key Laboratory of Complex System Safety and Control (Chongqing University) Chongqing 400044 China School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ 85287 USA

ISBN: (数字)9781728116723

ISBN: (纸本)9781728116730

In cloud computing, data is duplicated to prevent data loss. One way to achieve data consistency in such a distributed computing systems is to use a blockchain. Based on practical Byzantine fault tolerance (PBFT), a specific type of blockchain, this paper proposes a synchronous Byzantine fault tolerance (SBFT) algorithm that not only maintains data consistency, but also has much higher efficiency than other general blockchain algorithms. We provide experimental results that demonstrate the algorithm's data consistency, efficiency, and reliability.

关键词： Cloud computing Fault tolerance Fault tolerant systems Peer-to-peer computing

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：