检索结果-内蒙古大学图书馆

2009 American control Conference (ACC 2009)

作者： Junyan Yu Long Wang Mei Yu Jie Chen Yingmin Jia Intelligent Control Laboratory Center for Systems and Control College of Engineering and Key Laboratory of Machine Perception (Ministry of Education) Peking University Beijing 100871 P.R.China Department of Automation North China Electric Power University Zhuxinzhuang Dewai Beijing 102206 P.R.China Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 P.R.China Seventh Research Division Beihang University Beijing 100083 P.R. China

ISBN: (纸本)9781424445233

We address robust stabilization problem for networked control systems with nonlinear uncertainties and packet losses by modelling such systems as a class of uncertain switched systems. Based on theories on switched Lyapunov functions, we derive the robustly stabilizing conditions for state feedback stabilization and design packet-loss dependent controllers by solving some matrix inequalities. A numerical example and some simulations are worked out to demonstrate the effectiveness of the proposed design method.

关键词： Networked control systems robust controller design Packet loss control systems design approach Switched systems controller design State feedback Uncertainty nonlinearity

来源：评论

学校读者我要写书评

暂无评论

Robust adaptive control for uncertain systems with discrete and distributed delays

引用

控制理论与应用（英文版） 2008年第3期6卷 287-292页

作者： Qing ZHU Shumin FEI Tao LI Tianping ZHANG Key Laboratory of Measurement and Control of Complex Systems of Engineering School of Automation Southeast University Nanjing Jiangsu 210096 China College of Information Engineering Yangzhou University Yangzhou Jiangsu 225009 China

In this paper, a robust adaptive control scheme is proposed for the stabilization of uncertain linear systems with discrete and distributed delays and bounded perturbations. The uncertainty is assumed to be an unknown continuous function with norm-bounded restriction. The perturbation is sector-bounded. Combining with the liner matrix inequality method, neural networks and adaptive control, the control scheme ensures the exponential stability of the closed-loop system for any admissible uncertainty.

关键词： Time-delay systems Robust control Adaptive control Neural networks Global exponential stability Linear matrix inequalities

来源：评论

学校读者我要写书评

暂无评论

Adaptive control for a class of discrete-time time-delay systems with regard to delay parameter

引用

Journal of systems engineering and Electronics 2009年第1期000卷

作者： Chai Lin Cheng Ming Fei Shumin Zhai Junyong Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of Automation Southeast Univ. Nanjing 210096 P. R. China School of electrics Southeast Univ. Nanjing 210096 P. R. China School of electrics Southeast Univ. Nanjing 210096 P. R. China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of Automation Southeast Univ. Nanjing 210096 P. R. China

The memory state feedback control problem for a class of discrete-time systems with input delay and unknown state delay is addressed based on LMIs and Lyapunov-Krasovskii functional method. Under the action of our designed adaptive control law, the unknown time-delay parameter is included in memory state feedback controller. Using LMI technique, delay-dependent sufficient conditions for the existence of the feedback controller are obtained. Finally, the effectiveness of the proposed design method is demonstrated by a numerical example.

关键词： discrete-time time-delay systems adaptive control linear matrix inequality.

来源：评论

学校读者我要写书评

暂无评论

Adaptive RBF neural-networks control for a class of time-delay nonlinear systems

Adaptive RBF neural-networks control for a class of time-del...

引用

作者： Zhu, Qing Fei, Shumin Zhang, Tianping Li, Tao Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Jiangsu Nanjing 210096 China College of Information Engineering Yangzhou University Jiangsu Yangzhou 225009 China

A control scheme combined with backstepping, radius basis function (RBF) neural networks and adaptive control is proposed for the stabilization of nonlinear system with input and state delay. By using state transformation, the original system is converted to the system without input delay. The RBF neural network is employed to estimate the unknown continuous function. The controller is designed for the converted system so that the closed-loop system is bounded. According to the relation between the original system and the converted one, the state of the original system is proved to be bounded. The control scheme ensures that the closed-loop system is semi-globally uniformly ultimately bounded. © 2008 Elsevier B.V. All rights reserved.

关键词： Backstepping

来源：评论

学校读者我要写书评

暂无评论

Application of wavelet edge detection in image processing of welding seam

引用

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2008年第SUPPL. 1期36卷 65-67+86页

作者： Gan, Yahui Dai, Xianzhong Li, Xinde Gong, Yefei Key Laboratory of Measurement and Control of Complex Systems of Engreeing School of Automation Southeast University Nanjing 210096 China

The wavelet edge detecting method was introduced to the welding seam image processing in this paper, which can make up the defect of usual edge detecting methods in antinoise ability and precise locating ability. The B spline wavelet was applied to extract the image edge and the similarity distance was defined to compare the extracting results. The contrasting results demonstrate the wavelet edge detection is better than the usual methods, which justified the validity that the wavelet transform can be used efficiently in the welding seam image processing.

关键词： Edge detection

来源：评论

学校读者我要写书评

暂无评论

Behaviour reasoning and tracking for mobile objects based on projection and occlusion ratios

Behaviour reasoning and tracking for mobile objects based on...

引用

2008 Chinese Conference on Pattern Recognition, CCPR 2008

作者： Lu, Hong Fei, Shumin Zhang, Tao Li, Tao Zheng, Jianyong School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Nanjing 210096 China School of Automation Nanjing Institute of Technology Nanjing 211167 China School of Electrical Engineering Southeast University Nanjing 210096 China

ISBN: (纸本)9781424423163

Object states estimation and data association are main facets of multi-object tracking. Under complex situations, one object often grouped with others, or occluded by other objects or background, which can increase the difficulty in data association and behaviour reasoning, and even result in being hard to maintain track. To cope with these problems, a new behaviour reasoning and tracking method is proposed. A scene mode is built firstly simulating public transport environment. Then, Kalman filter is used to estimate the object position and bounding box. Then, the center-association based projection ratio and region-association based occlusion ratio are defined and combined to reason and classify object behaviours. Finally, an adaptive tracking scheme aiming at special behaviours (e.g. merging, and static occlusion) is proposed to validate our reasoning method. Experimental results show that the proposed method is efficient. ©2008 IEEE.

关键词： Kalman filters

来源：评论

学校读者我要写书评

暂无评论

Corrigendum to “Exponential state estimation for recurrent neural networks with distributed delays” [Neurocomputing 71(1–3) (2007) 428–438]

引用

Neurocomputing 2008年第7-9期71卷 1753-1758页

作者： Tao Li Shu-min Fei Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing 210096 PR China

In the letter [Neurocomputing 71(1–3) (2007) 428–438], there exists one minor error in computing the derivative of V 2 ( ɛ ( t ) ) and thus, the proof of Theorem 1 needs some improvement.

关键词： Corrigendum Neurocomputing 71(1–3) (2007) 428–438

来源：评论

学校读者我要写书评

暂无评论

Color correlogram based particle filter for object tracking

Color correlogram based particle filter for object tracking

引用

2008 Chinese Conference on Pattern Recognition, CCPR 2008

作者： Zhang, Tao Fei, Shu-Min Lu, Hong Li, Xiao-Dong Key Laboratory of Measurement and Control of Complex Systems of Engineering Institute of Automation Southeast University Nanjing 210096 China

ISBN: (纸本)9781424423163

A novel color correlogram based particle filter was proposed for an object tracking in visual surveillance. By using the color correlogram as object feature, spatial information is incorporated into object representation, which yields a reliable likelihood description of the observation and prediction for tracking the objects accurately. The capability of the tracker to tolerate appearance changes like orientation changes, small scale changes, partial occlusions and background scene changes is demonstrated using real image sequences. Experimental evidence shows that the color correlogram is more effective than the traditional color histogram for objects tracking. ©2008 IEEE.

关键词： Color

来源：评论

学校读者我要写书评

暂无评论

Neural network inverse control of current-fed induction motor

Neural network inverse control of current-fed induction moto...

引用

IEEE International Symposium on Industrial Electronics (ISIE)

作者： Xianzhong Dai Xin Wang Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education South-East University Nanjing China

The decoupling and linearize (D&L) control of induction motor is an important approach to improve the performance further. The analytical inverse system can realize D&L of nonlinear system when the model is exactly known, but for the induction motor with parameters varying and disturbance, the D&L is destroyed. So the neural network inverse system (NNIS) theory was adapted to approximate the analytical inverse system in order to weaken the couple of rotor flux and speed, the NNIS was designed for the induction motor in the synchronous rotating (dq) reference frame in this paper. Through the analytical inverse system expression we pointed out that the D&L effect is unrelated to the position of d axis. Subsequently, the neural network inverse control (NNIC) structure was proposed. As a special case, the NNIS of induction motor in rotor field oriented (MT) reference frame was also given, the comparison of this NNIC with direct rotor field oriented control (DRFOC) was done and we conclude that it is an improved method of DRFOC. At last, the simulation and experiment were done to test the proposed structures.

关键词： Neural networks Induction motors Nonlinear control systems Voltage control Force control Rotors Nonlinear systems Programmable control Adaptive control control systems

来源：评论

学校读者我要写书评

暂无评论

An Improved Particle Filter for Tracking Color Object

An Improved Particle Filter for Tracking Color Object

引用

International Conference on Intelligent Computation Technology and Automation, ICICTA

作者： Tao Zhang Shumin Fei Xiaodong Li Hong Lu Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education South-East University Nanjing China

Robust real-time tracking of non-rigid objects is a challenging task. Color is a powerful feature for tracking deformable objects in image sequences with complex backgrounds. Color distribution is applied, as it is robust to partial occlusion, is rotation and scale invariant and computationally efficient. Particle filter has been proven very successful for non-linear and non-Gaussian estimation tracking problems. The article presents the integration of color distributions into particle filtering. A target is tracked with a particle filter by comparing its histogram with the histograms of the sample positions using the Bhattacharyya distance. Additionally, to solve the sample impoverishment (all particles collapse to a single point within a few iterations) in the particle-filter algorithm, a new resampling algorithm is proposed to tackle sample impoverishment. The performance of the proposed filter is evaluated qualitatively on various real-world video sequences. The experimental results show that the improved color-based particle filter algorithm can reduce sample impoverishment effectively and track the moving object very well.

关键词： Particle filters Particle tracking Target tracking Histograms Filtering Video sequences Recursive estimation Particle measurements State-space methods Educational technology

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：