检索结果-内蒙古大学图书馆

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

Consensus of discrete-time second-order multi-agent systems with delayed and noisy measurements under balanced digraphs 29

Consensus of discrete-time second-order multi-agent systems ...

引用

第29届中国控制与决策会议

作者： Xiaofeng Zong Tao Li School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Department of Mathematics East China Normal University Shanghai Key Laboratory of Power Station Automation Technology

ISBN: (纸本)9781509046584

This paper studies mean square and almost sure consensus of discrete-time second-order multi-agent systems with time-delays and multiplicative noises in the information exchange with *** using the stochastic stability theorem of discrete-time stochastic delay systems,we find sufficient conditions for mean square and almost sure consensus explicitly related to the network and control *** is shown that if the network graph is balanced and strongly connected,then the weighted-average type control protocol can be properly designed to ensure mean square and almost sure consensus for any given time-delays and noise intensity coefficients.

关键词： Second-order multi-agent system Multiplicative noise Time-delay Consensus

来源：评论

学校读者我要写书评

暂无评论

Impedance control with New Inner Torque loop for Compliant Joints and Its Performance Analysis 36

Impedance Control with New Inner Torque loop for Compliant J...

引用

第36届中国控制会议

作者： Yin Ke Jian Li Zonglin Huang Shuai Li Guodong Li The Bionic Robot and System Key Laboratory School of Mechatronic EngineeringBeijing Institute of Technology Key Laboratory for Intelligent Control and Decision on Complex Systems School of AutomationBeijing Institute of Technology Beijing Jingwei Hirain Technologies

ISBN: (纸本)9781538629185

For the purpose of enhancing compliance of robot joint,an impedance control strategy with new inner torque controller is *** inertia of the motor can be scaled down thanks to this new type of torque *** of different position（motor-side position 9 and link-side position q） feedback strategies are explored through theoretical deviation,simulation and static stiffness *** expressions of static stiffness under both position feedback strategies are obtained with validity verified by Simulink *** with 9 feedback strategy,static stiffness can exceed spring stiffness under q feedback strategy with high desired stiffness,which means wider variation range of static stiffness and this benefits robot applications that require wider variation range of impedance,such as rehabilitation robots and collaborative ***,several experiments with the compliant joint prototype verify the developed controllers and show the efficiency of the proposed control approach in terms of compliant behavior.

关键词： Compliant joint Impedance control Static stiffness

来源：评论

学校读者我要写书评

暂无评论

Event-based Cubature Kalman Filter for Smart Grid Subject to Communication Constraint

引用

IFAC-PapersOnLine 2017年第1期50卷 49-54页

作者： Li S. Li Z. Li J. Wang Q. Song Z. Chen Z. Sheng Y. Liu X. Liu Y. School of Automation and Key Laboratory for Intelligent Control Decision on Complex Systems Beijing Institute of Technology Beijing 100081 China Department of control science and engineering Harbin Institute of Technology Harbin 150001 China

Accurate real-time estimation plays an important role in smart grids. Although various filtering algorithms, such as unscented Kalman filter (UKF), have been proposed for phasor measurement unit (PMU), they occupy huge communication bandwidth without specific concern, which puts heavy burden on the communication network especially when wireless communications are applied. In order to relief this burden, the event-based cubature Kalman filter (EBCKF) is proposed based on event-based schemes in this paper. The event-based strategy guarantees that only the observations containing innovational information are transmitted, and cubature Kalman filter (CKF), which is based on the spherical cubature integration, provides more accurate estimation than UKF. Besides, the design-oriented communication rate is provided corresponding to the event-based strategy design. The proposed filter can effectively reduce the communication rate while ensuring the accuracy of filtering. Finally, the standard IEEE 39-bus system is utilized to verify the feasibility and performance of the proposed method. © 2017

关键词： communication rate dynamic state estimation Event-based cubature Kalman filter (EBCKF) IEEE 39-bus phasor measurement unit (PMU)

来源：评论

学校读者我要写书评

暂无评论

Quasi-oppositional cuckoo search algorithm for multi-objective optimal power flow

IAENG International Journal of Computer Science

引用

IAENG International Journal of Computer Science 2018年第2期45卷 255-266页

作者： Chen, Gonggui Qiu, Siyuan Zhang, Zhizhong Sun, Zhi Key Laboratory of Network control and Intelligent Instrument Ministry of Education Chongqing University of Posts and Telecommunications Chongqing400065 China Key Laboratory of Complex Systems and Bionic Control Chongqing University of Posts and Telecommunications Chongqing400065 China Key Laboratory of Communication Network and Testing Technology Chongqing University of Posts and Telecommunications Chongqing400065 China Guodian Enshi Hydropower Development Enshi445000 China

This paper introduces the multi-objective cuckoo search (MOCS) method for solving the multi-objective optimal power flow (MOOPF) which is a multi-variable, multi-constraint and nonlinear programming problem. In order to speed up convergence and enhance the quality of solution, the quasi-opposition based learning mechanism is adopted to propose the multi-objective quasi-oppositional cuckoo search (MOQOCS) algorithm in this paper. In MOCS and MOQOCS methods, the feasibility-prior domination principle (FDP) is presented to ensure the feasibility of simulation result which is based on the objective values and the sum of constraint violation values. The crowding-distance sorting is considered to enhance the diversity of Pareto-optimal solutions and obtain better distributed Pareto optimal front. IEEE 30-bus and IEEE 57-bus systems have been considered to check the performance of the proposed methods. The simulation results confirm that MOQOCS algorithm obtains superior compromise solution and produces better distributed Pareto optimal front compared to other methods. © International Association of Engineers.

关键词： Nonlinear programming

来源：评论

学校读者我要写书评

暂无评论

Research on hybrid modified cuckoo search algorithm for optimal reactive power dispatch problem

IAENG International Journal of Computer Science

引用

IAENG International Journal of Computer Science 2018年第2期45卷 328-339页

作者： Chen, Gonggui Lu, Zhengqin Zhang, Zhizhong Sun, Zhi Key Laboratory of Network control and Intelligent Instrument Chongqing University of Posts and Telecommunications Ministry of Education Chongqing400065 China Key Laboratory of Complex Systems and Bionic Control Chongqing University of Posts and Telecommunications Chongqing400065 China Key Laboratory of Communication Network and Testing Technology Chongqing University of Posts and Telecommunications Chongqing400065 China Guodian Enshi Hydropower Development Enshi445000 China

In this paper, an efficient and reliable approach based on hybrid modified cuckoo search algorithm (MCS) combining with differential evolutionary algorithm (DE) (named MCS-DE) is proposed to solve optimal reactive power dispatch (ORPD) problem with minimization of power losses (Ploss), voltage stability index (Lindex) and voltage deviation (Vd) as objectives. The original CS method often converges to local optima. In order to avoid this shortcoming, a series of modifications is purposed to the assimilation policy rule of CS. The variations of the two main parameters and an improved search equation are introduced into the MCS-DE to improve local search near the global best, and it profits from DE to further improve the optimization performance. The proposed MCS-DE is examined and implemented on IEEE 30-bus and IEEE 57-bus test power systems with three different objectives. The simulation results presented in this paper demonstrate the effectiveness and robustness of hybrid MCS-DE approach for solving ORPD problem and it can be made better results compared to the CS, DE, and other methods reported in the literature as demonstrated by simulation results. © International Association of Engineers.

关键词： Optimization

来源：评论

学校读者我要写书评

暂无评论

Analysis and Maximum Efficiency design for Wireless Power Transfer systems

Analysis and Maximum Efficiency Design for Wireless Power Tr...

引用

Chinese control Conference

作者： Bing Cao Hongbin Wang Qingyi Wang Min Ding Quan Yin Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China State Grid Corporation of China Wuhan China School of Automation Huazhong University of science and technology Wuhan China

How to stabilize the output voltage while ensuring the maximum charging efficiency of the system is a problem faced by the development of wireless power transfer(WPT). Especially in the dynamic environment, the change of system coupling coefficient or load resistance will have a huge impact on the system. In this paper, a two-stage DC-DC converter control mode is used to control the system with the goal of dynamic charging demand. Among them, the system achieves impedance matching through the receiver DC-DC converter to ensure the transmission efficiency of the system, and in order to match the impedance, the voltage and current information in the coil is used to calculate the coupling coefficient, then, the coupling coefficient can be used to achieve maximum efficiency. The system output voltage is stabilized by using the transmitter DC-DC converter. The simulation experiment shows that the control mode can stabilize the output voltage well, and is more efficient than the single receiver closed loop control(SRCLP) system.

关键词： Resistance Couplings DC-DC power converters control systems Voltage control Receivers Frequency control

来源：评论

学校读者我要写书评

暂无评论

Street Object Detection Based on Faster R-CNN

Street Object Detection Based on Faster R-CNN

引用

Chinese control Conference

作者： Wendi Cai Jiadie Li Zhongzhao Xie Tao Zhao Kang Lu Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P. R. china The Library of Wuhan University of Technology Wuhan P. R. China

With the increased number of traffic accidents, the research and development of smart cars have been promoted. The detection of street objects has become one of the important research topics. Generic Model detection algorithm based on Convolution Neural Network(CNN) need to design the training model, while the training and testing of the model will take a lot of time. Transfer Learning is used to fine-tune the pre-trained models, using the Image task datasets of COCO, transferring a generic deep learning model to specific one with different weights and outputs. Furthermore, the CNN structure is adjusted to improve overall performance, and the street environment is trained to the special scene. We compare the results of experiments, and the results showed that the network which is fine-tuned is effective.

关键词： Object detection Computer vision Training Proposals Machine learning Automobiles Convolution

来源：评论

学校读者我要写书评

暂无评论

Analysis of Influencing Factors on Carbon Monoxide Utilization Rate of Blast Furnace Based on Multi-Timescale Characteristics 36

Analysis of Influencing Factors on Carbon Monoxide Utilizati...

引用

第36届中国控制会议

作者： Jianqi An Yuwan Yang Min Wu Takao Terano School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Department of Computer Science School of ComputingTokyo Institute of Technology

ISBN: (纸本)9781538629185

In the blast furnace,due to the different changing frequency of different operations,and the different reaction time of gas,liquid and solid materials,there exists multi-timescale characteristics in the iron-making ***,not enough attention has been paid to this characteristic,most of the analyses on the blast furnace state before are under a fixed time ***,this paper makes a analysis of influencing factors on carbon monoxide utilization rate of blast furnace based on multi-timescale ***,the factors that affect the carbon monoxide utilization rate are analyzed from different time ***,in the short time scale,the individual influencing time scale of the permeability index,total pressure difference and top temperature is found by the support vector machine（SVM） *** in the long time scale,the influencing time scale of burdening is *** the validity of each model is verified by the field data of the blast furnace.

关键词： Multi-time scales Carbon monoxide utilization Support vector machine Blast furnace

来源：评论

学校读者我要写书评

暂无评论

Robust Iterative Learning control for Alloy Batch Weighing Process in Refining Furnace 36

Robust Iterative Learning Control for Alloy Batch Weighing P...

引用

第36届中国控制会议

作者： Yibo Huang Jianqi An Yong He Min Wu Takao Terano School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Department of Computer Science School of ComputingTokyo Institute of Technology

ISBN: (纸本)9781538629185

This paper proposes a robust iterative learning control method for the refining furnace alloy weighing process to solve the problem of the poor control accuracy and stability caused by the changing of alloy properties and the frequency of the vibration feeder. First, a two dimensional（2D） weighing model was established based on the analysis of the dynamic characteristics of alloy weighing process. Second, a control scheme is proposed for the 2D model of alloy weighing ***, a robust iterative learning controller is developed and a stability condition of the 2D system is derived through linear matrix inequality（LMI） obtained by a 2D Lyapunov-Krasovskii function. Finally, the simulation results show that the proposed method can sufficiently improve the control precision of the alloy weighing process.

关键词： Iterative learning control 2D weighing model Batch process Alloy weighing process Robust control

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：