检索结果-内蒙古大学图书馆

A Study On Iterative Learning control With Adjustment Of Learning Interval For Monotone Convergence In The Sense Of Sup-Norm

引用

Asian Journal of control 2008年第1期4卷

作者： Kwang-Hyun Park Zeungnam Bien Division of EE Department of EECS Korea Advanced Institute of Science and Technology 373–1 Kusong-dong Yusong-gu Taejon 305–701 Korea. Zeungname Bien:received the B.S. degree in electronics engineering from Seoul National University Seoul Korea in 1969 and the M.S. and Ph.D. degrees in electrical engineering from the University of Iowa Iowa City Iowa U.S.A. in 1972 and 1975 respectively. During 1976–1977 academic years he taught as assistant professor at the Department of Electrical Engineering University of Iowa. Then Dr. Bien joined Korea Advanced Institute of Science and Technology summer 1977 and is now Professor of Control Engineering at the Department of Electrical Engineering and Computer Science KAIST. Dr. Bien was the president of the Korea Fuzzy Logic and Intelligent Systems Society during 1990–1995 and also the general chair of IFSA World Congress 1993 and for FUZZ-IEEE99 respectively. He is currently co-Editor-in-Chief for International Journal of Fuzzy Systems (IJFS) Associate Editor for IEEE Transactions on Fuzzy Systems and a regional editor for the International Journal of Intelligent Automation and Soft Computing. He has been serving as Vice President for IFSA since 1997 and is now Chief Chairman of Institute of Electronics Engineers of Korea and Director of Humanfriendly Welfare Robot System Research Center. His current research interests include intelligent control methods with emphasis on fuzzy logic systems service robotics and rehabilitation engineering and large-scale industrial control systems. Kwang-Hyun Park:received the B.S. M.S. and Ph.D. degrees in electrical engineering and computer science from KAIST Korea in 1994 19997 and 2001 respectively. He is now a researcher at Human-friendly Welfare Robot System Research Center. His research interests include learning control machine learning human-friendly interfaces and service robotics.

It has been found that some huge overshoot in the sense of sup-norm may be observed when typical iterative learning control (ILC) algorithms are applied to LTI systems, even though monotone convergence in the sense of λ-norm is guaranteed. In this paper, a new ILC algorithm with adjustment of learning interval is proposed to resolve such an undesirable phenomenon, and it is shown that the output error can be monotonically converged to zero in the sense of sup-norm when the proposed ILC algorithm is applied. A numerical example is given to show the effectiveness of the proposed algorithm.

关键词： Iterative learning control monotone convergence learning interval sup-norm

来源：评论

学校读者我要写书评

暂无评论

TRACKING control IN THE PRESENCE OF NONLINEAR DYNAMIC FRICTIONAL EFFECTS: ROBOT EXTENSION

引用

Asian Journal of control 2008年第3期1卷

作者： M. Feemster D.M. Dawson A. Behal W. Dixon Matthew Feemster received the B.S degree in Electrical Engineering from Clemson University Clemson South Carolina in December 1994. Upon graduation he remained at Clemson University and received the M.S. degree in Electrical Engineering in 1997. During this time he also served as a research/teaching assistant. His research work focused on the design and implementation of various nonlinear control algorithms with emphasis on the induction motor and mechanical systems with friction present. He is currently working toward his Ph.D. degree in Electrical Engineering at Clemson University. Darren M. Dawson was born in 1962 in Macon Georgia. He received an Associate Degree in Mathematics from Macon Junior College in 1982 and a B.S. Degree in Electrical Engineering from the Georgia Institute of Technology in 1984. He then worked for Westinghouse as a control engineer from 1985 to 1987. In 1987 he returned to the Georgia Institute of Technology where he received the Ph.D. Degree in Electrical Engineering in March 1990. During this time he also served as a research/teaching assistant. In July 1990 he joined the Electrical and Computer Engineering Department and the Center for Advanced Manufacturing (CAM) at Clemson University where he currently holds the position of Professor. Under the CAM director's supervision he currently leads the Robotics and Manufacturing Automation Laboratory which is jointly operated by the Electrical and Mechanical Engineering departments. His main research interests are in the fields of nonlinear based robust adaptive and learning control with application to electro-mechanical systems including robot manipulators motor drives magnetic bearings flexible cables flexible beams and high-speed transport systems. Aman Behal was born in India in 1973. He received his Masters Degree in Electrical Engineering from Indian Institute of Technology Bombay in 1996. He is currently working towards a Ph.D in Controls and Robotics at Clemson University. His research focuses on the control of no

In this paper, we extend the observer/control strategies previously published in [25] to an n -link, serially connected, direct drive, rigid link, revolute robot operating in the presence of nonlinear friction effects modeled by the Lu-Gre model. In addition, we also present a new adaptive control technique for compensating for the nonlinear parameterizable Stribeck effects. Specifically, an adaptive observer/controller scheme is developed which contains a feedforward approximation of the Stribeck effects. This feedforward approximation is used in a composite controller/observer strategy which forces the average square integral of the position tracking error to an arbitrarily small value. Experimental results are included to illustrate the performance of the proposed controllers.

关键词： Friction compensation nonlinear control

来源：评论

学校读者我要写书评

暂无评论

LANDING AN UNMANNED AIR VEHICLE: VISION BASED MOTION ESTIMATION AND NONLINEAR control

引用

Asian Journal of control 2008年第3期1卷

作者： Omid Shakernia Yi Ma T. John Koo Shankar Sastry Dept. of Electrical Engineering & Computer Science University of California at Berkeley Berkeley CA94720-1774 U.S.A. Tak-Kuen John Koo received the B.Eng. degree in 1992 in Electronic Engineering and the M.Phil. in 1994 in Information Engineering both from the Chinese University of Hong Kong. From 1994 to 1995 he was a graduate student in Signal and Image Processing Institute at the University of Southern California. He is currently a Ph.D. Candidate in Electrical Engineering and Computer Sciences at the University of California at Berkeley. His research interests include nonlinear control theory hybrid systems inertial navigation systems with applications to unmanned aerial vehicles. He received the Distinguished M.Phil. Thesis Award of the Faculty of Engineering The Chinese University of Hong Kong in 1994. He was a consultant of SRI International in 1998. Currently he is the team leader of the Berkeley AeRobot Team and a delegate of The Graduate Assembly University of California at Berkeley. He is a student member of IEEE and SIAM. S. Shankar Sastry received his Ph.D. degree in 1981 from the University of California Berkeley. He was on the faculty of MIT from 1980-82 and Harvard University as a Gordon McKay professor in 1994. He is currently a Professor of Electrical Engineering and Computer Sciences and Bioengineering and Director of the Electronics Research Laboratory at Berkeley. He has held visiting appointments at the Australian National University Canberra the University of Rome Scuola Normale and University of Pisa the CNRS laboratory LAAS in Toulouse (poste rouge) and as a Vinton Hayes Visiting fellow at the Center for Intelligent Control Systems at MIT. His areas of research are nonlinear and adaptive control robotic telesurgery control of hybrid systems and biological motor control. He is a coauthor (with M. Bodson) of “Adaptive Control: Stability Convergence and Robustness Prentice Hall 1989.” and (with R. Murray and Z. Li) of “A Mathematical Introduction to Robotic Manipulati

In this paper, we use computer vision as a feedback sensor in a control loop for landing an unmanned air vehicle (UAV) on a landing pad. The vision problem we address here is then a special case of the classic ego-motion estimation problem since all feature points lie on a planar surface (the landing pad). We study together the discrete and differential versions of the ego-motion estimation, in order to obtain both position and velocity of the UAV relative to the landing pad. After briefly reviewing existing algorithm for the discrete case, we present, in a unified geometric framework, a new estimation scheme for solving the differential case. We further show how the obtained algorithms enable the vision sensor to be placed in the feedback loop as a state observer for landing control. These algorithms are linear, numerically robust, and computationally inexpensive hence suitable for real-time implementation. We present a thorough performance evaluation of the motion estimation algorithms under varying levels of image measurement noise, altitudes of the camera above the landing pad, and different camera motions relative to the landing pad. A landing controller is then designed for a full dynamic model of the UAV. Using geometric nonlinear control theory, the dynamics of the UAV are decoupled into an inner system and outer system. The proposed control scheme is then based on the differential flatness of the outer system. For the overall closed-loop system, conditions are provided under which exponential stability can be guaranteed. In the closed-loop system, the controller is tightly coupled with the vision based state estimation and the only auxiliary sensor are accelerometers for measuring acceleration of the UAV. Finally, we show through simulation results that the designed vision-in-the-loop controller generates stable landing maneuvers even for large levels of image measurement noise. Experiments on a real UAV will be presented in future work.

关键词： Motion estimation computer vision based control unmanned air vehicle differential flatness

来源：评论

学校读者我要写书评

暂无评论

Neural network feedforward control for mechanical systems with external disturbances

Neural network feedforward control for mechanical systems wi...

引用

Proceedings of the 46th IEEE Conference on Decision and control, Pages 2301-2758

作者： Xuemei Ren Frank L Lewis Shuzhi Sam Ge Jingliang Zhang Department of Automatic Control Beijing Institute of Technology Beijing China Automation and Robotics Research Institute University of Texas Arlington Fort worth TX USA Department of Electrical and Computer Engineering National University of Singapore Singapore ASTAR Data Storage Institute Singapore

ISBN: (纸本)9781424414970;1424414970

In this paper, a novel feedforward control based on accelerometer measurements is proposed for mechanical systems with external disturbances. The control scheme includes a feedback controller and a neural network feedforward compensator. The feedback controller is employed to guarantee the stability of the mechanical systems, while the neural network is used to provide the required feedforward compensation input for trajectory tracking with the help of a sensor to detect external vibrations. Dynamics knowledge of the plant, disturbances and the sensor is not required. The stability of the proposed scheme is analyzed by the Lyapunov criterion. Simulation results show that the proposed controller performs well for a hard disk drive system and a two-link manipulator.

关键词： Mechanical systems external disturbance feedback controller FEEDFORWARD control disk drive system Neural network Sensors trajectory tracking

来源：评论

学校读者我要写书评

暂无评论

Stable grasp of a 2D rigid object through rolling with soft fingers

Stable grasp of a 2D rigid object through rolling with soft ...

引用

IEEE International Conference on robotics and Biomimetics

作者： Morio Yoshida Suguru Arimoto Ji-Hun Bae Zhi-Wei Luo Bio-Mimetic Control Research Center RIKEN Nagoya Aichi Japan Pohang Institute of Intelligent Robotics PIRO Nam Gyeongbuk South Korea Department of Computer and Systems Engineering Kobe University Kobe Hyogo Japan

ISBN: (纸本)9781424417612;1424417619

This paper first proposes a testbed problem of control for dynamic grasp or immobilization of a 2D rigid object for the sake of gaining a physical insight into stable grasp of an object by soft fingers. Such a problem may play a principal role in understanding the methodology of sensory feedback stabilization similarly to the role of "inverted pendulum on a cart" problems in stabilization and control of mechanical systems. Second a class of coordinated control signals is proposed and shown to be effective for realizing stable grasp of a 2D rigid object in a blind manner without using the knowledge of object kinematics or external sensings. It is shown that rolling contact constraints around the centers of contact areas between soft finger-tips and object surfaces treated as nonholonomic constraints play an essential role in stabilization of a dynamic grasp with force/torque balance.

关键词： Fingers Robot kinematics Torque Testing Feedback control systems Mechanical systems Robot sensing systems Intelligent robots Biomimetics

来源：评论

学校读者我要写书评

暂无评论

MODELING AND control OF ELEVATORS BY STATECHARTS

引用

Asian Journal of control 2008年第2期6卷

作者： Yi-Sheng Huang Sheng-Luen Chung Mu-Der Jeng Department of Aeronautical Engineering Chung Cheng Institute of Technology National Defense University Tashi Taoyuan 335 Taiwan R.O.C. Department of Electrical Engineering National Taiwan University of Science and Technology Taipei 106 Taiwan R.O.C. Department of Electrical Engineering National Taiwan Ocean University Kellung 202 Taiwan R.O.C. MuDer Jeng received the Ph.D. degree in computer and systems engineering from Rensselaer Polytechnic Institute Troy NY in 1992. Since August 1992 Dr. Jeng has been with National Taiwan Ocean University Keelung Taiwan where he is currently a full Professor at the Department of Electrical Engineering. His current research interests include Petri nets discrete event systems computer integrated manufacturing semiconductor factory automation embedded systems. Dr. Jeng is the author/co-author of over 120 book chapters journal papers and conference papers. Dr. Jeng received the Franklin V. Taylor Outstanding Paper Award from the IEEE Systems Man and Cybernetics Society in 1993. He was granted the Research Award by the National Science Council of Taiwan annually from 1994 to 2000. He is an Associate Editor for IEEE Transactions on Systems Man and Cybernetics-Part A IEEE Transactions on Robotics and Automation IEEE Transactions on Robotics and serves on the Editorial Board of International Journal of Computer Integrated Manufacturing. He has been a Guest Editor for eight leading journals. Dr. Jeng is the Chair of the Technical Committee on Discrete Event Systems of the IEEE SMC Society and the Founding Chair of the Technical Committee on Semiconductor Factory Automation of the IEEE Robotics and Automation Society. He served as the Exhibitions Chair of 2003 IEEE International Conference on Robotics and Automation and the Special Sessions Chair of 2004 IEEE International Conference on Networking Sensing and Control. He serves as a Program Co-Chair of 2005 IEEE International Conference on Networking Sensing and Control and the Organization Commit

Statechart has been utilized as a visual formalism for the modeling of complex and interactive systems for its illuminating features on describing properties of causality, concurrency, and synchronization. This paper presents the application of satechart to the modeling, design and implementation of an elevator system, whose system behavior involves aggregating complexity of state descriptions, and imposition of underlying control policy. Based on the operational flow of an elevator, we derive the associated statechart model by looking into the inherent hierarchical structure of the elevator. The advantage of the proposed approach is the clear presentation of system behavior in terms of conditions and events that cause the transitions in system dynamics. Implementation of the controlled elevator based on the modeled statechart is also presented.

关键词： Statechart interactive systems elevator

来源：评论

学校读者我要写书评

暂无评论

Advances in Telerobotics 1

引用

丛书名： Springer Tracts in Advanced robotics

2007年

作者： Manuel Ferre Rafael Aracil Martin Buss Claudio Melchiorri Carlos Balaguer

ISBN: (数字)9783540713647

ISBN: (纸本)9783540713630;9783642425929

At the dawn of the new millennium, robotics is undergoing a major transformation in scope and dimension. From a largely dominant industrial focus, robotics is rapidly expanding into the challenges of unstructured environments. Interacting with, assi- ing, serving, and exploring with humans, the emerging robots will increasingly touch people and their lives. The goal of the new series of Springer Tracts in Advanced robotics (STAR) is to bring, in a timely fashion, the latest advances and developments in robotics on the basis of their signi cance and quality. It is our hope that the wider dissemination of research developments stimulates exchanges and collaborations among the research community and contributes to further advancement of this rapidly growing eld. The edited volume by Manuel Ferre, Martin Buss, Rafael Aracil, Claudio M- chiorri and Carlos Balaguer is focused on the most recent advances in telerobotics, a technology that deals with the inclusion of a human operator in the control loop of a remote robot. Telerobotics encompasses an area at the crossroads of several scienti c disciplines such as mechatronics, control, communication, computers, sensor-based recognition, multimodality and even teleoperation through Internet.

关键词： control, robotics, Mechatronics Artificial Intelligence Systems Theory, control

来源：评论

学校读者我要写书评

暂无评论

Error correction procedures for a hardware implementation of the advanced encryption standard

Error correction procedures for a hardware implementation of...

引用

作者： Biernat, Janusz Czapski, Mariusz Nikodem, Maciej Institute of Computer Engineering Control and Robotics Wroclaw University of Technology Poland

ISBN: (纸本)8374810351

The Advanced Encryption Standard algorithm itself does not guarantee error free operation or detection of arising errors. Contemporary research has shown that even single bit errors strongly affect the output of the algorithm. Moreover an attacker may maliciously induct errors during the run of the AES in order to perform cryptanalysis and recover the encryption secret key. In this paper we propose an extension of error detection code for AES, known from an open literature. The implementation of our idea leads to the improvement of error detection ability and reduces of the probability of successful fault analysis below 2-7. Copyright 2006 IFAC.

关键词： Fault tolerance

来源：评论

学校读者我要写书评

暂无评论

Applying Multi‐Moves in Parallel Genetic Algorithm for the Flow Shop Problem

引用

AIP Conference Proceedings 2007年第2期963卷

作者： W. Bozejko M. Wodecki Institute of Computer Engineering Control and Robotics Wrocław University of Technology Janiszewskiego 11‐17 50‐372 Wrocław Poland Institute of Computer Science University of Wrocław Joliot‐Curie 15 50‐383 Wrocław Poland

The matter of using multi‐moves in parallel genetic algorithms is discussed in the paper. Computational experiments are done for the flow shop, the classic NP‐hard problem of the combinatorial optimization. Obtained results are very promising: the superlinear speedup is observed for some versions of the parallel algorithm.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Cheap paths for nonholonomic motion planning

Cheap paths for nonholonomic motion planning

引用

作者： Duleba, Ignacy Ludwików, Pawel Institute of Computer Engineering Control and Robotics Wroc Law University of Technology Janiszewskiego 11/17 50-372 Wroclaw Poland

In this paper an algorithm of computing a locally optimal nonholonomic path is presented. The algorithm exploits local dynamic programming method applied iteratively. Tests of the algorithm were carried out on the mod... 详细信息

ISBN: (纸本)9783902661166

关键词： Iterative methods

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：