检索结果-内蒙古大学图书馆

第三十三届中国控制会议

作者： WANG Zhengxin JIANG Guoping YU Wenwu CAO Jinde College of Science Nanjing University of Posts and Telecommunications College of Automation Nanjing University of Posts and Telecommunications Research Center for Complex Systems and Network Sciences and Department of MathematicsSoutheast University Faculty of Engineering King Abdulaziz University Department of Mathematics Faculty of ScienceKing Abdulaziz University

ISBN: (纸本)9781479947249

The paper investigates quasi synchronization of heterogeneous networks coupled with N nonidentical Duffing-type *** comparing with a virtual synchronization target which is a weighted average of the states of N oscillators,some sufficient criteria of quasi synchronization are ***,some simulations are given to verify the obtained theoretical results.

关键词： Heterogeneous networks,Coupled oscillator networks,Quasi synchronization,Duffing oscillator

来源：评论

学校读者我要写书评

暂无评论

Opening remarks

2016 International Conference on Advances in Human Machine I...

引用

2016 International Conference on Advances in Human Machine Interaction, HMI 2016 2016年

作者： Nagaraja, Ch. Swamy, J. Nagendra Rajendra, J. Khan, M.S. Vishwanath Reddy, D.S. Manjunath, N. Dillmann, Ruediger Tarn, Tzyh Jong Zhao, Qianchuan Ammi, Mehdi Zuberek, Wlodek M. Sandhu, P.S. Patthira Newman, K. De Silva Liyanage, Chandratilak Hassan, Sohair Aly Aly Sun, Kien Wen Rahman, Md. Moshiur Ordoño, E. Evangelista Sharma, R.K. Mishra, Preeti Chandel, B.S. Singla, Ekta Petric, Tadej Zhong, Yu Jiglar, Janson Alemzadeh, Kazem Asokan, T. Tripathi, Animesh Tripathi, Manoj Ram, Swaminath Shrma, M.K. Panday, P.N. Kumar, Devendra Hinchey, Mike Stilman, Boris Suraj, Zbigniew Pal, Sankar K. Sasi, Sreela Rajan, Deepu Marshall, Roger G. Abraham, Ajith Peter S, David Paul, Vargheese Gopakumar, V. Dustdar, Schahram Soto, Sebastián Ventura Rausch, Andreas Angelis, Lefteris Nelson, Andrew L. Botzheim, Janos Bernardino, Heder Soares Zboril, Frantisek Ane, Bernadetta Kwintiana Maeda, Toshiyuki Sakalauskas, Virgilijus Hann, Garenth Lim King Samek, Jan Romero Salguero, José Raúl Varghese, Kuruvilla Kriksciuniene, Dalia Mathew, Jimson Reif, Wolfgang Mauri, Giancarlo Cabrerizo Lorite, Francisco Javier Özcan, Ender Cho, Sung-Bae Paily, Roy P. Rezankova, Hana Tudjarov, Boris Hong, Wei-Chiang De Oliveira, José Valente Flores Romero, Juan Jose Oskouei, Rozita Jamili Cicchetti, Antonio Roy, Chanchal Segura, Sergio Samuel, C. Mallet, Frédéric Mernik, Marjan Punnekkat, Sasikumar Waseemulla, A. Sri Devaraj Urs Educational Trust Bangalore India R. L. Jalappa Institute of Technology Doddaballapur Bangalore India Humanoids and Intelligence Systems Lab Kalsruhe Germany Electrical and Systems Engineering Washington University in St. Louis United States Deputy Director of Center for Intelligent and Networked Systems Department of Automation Tsinghua University Beijing China Department of Computer Science CNRS/LIMSI Lab AMI Group France Memorial University St. John'sNL Canada RBIT and Bio-Technology India LR University Thailand University of Colorado at Boulder Boulder United States Faculty of Science University of Brunei Brunei University of Kuala Lumpur Malaysia National Chiao Tung University Taiwan EPR Centre Bangladesh Mapua Institute of Technology Philippines ARO CWC Lucknow India Mpec Kanpur India DSC DBS Kanpu India Indian Institute of Technology Ropar India Jozaf Stefan Institute Department of Automation Biocyernetics and Robotics Ljubljana Slovenia Robotics Institute Carnegie Mellon University Pittsburgh United States Faculty of Engineering University of Bristol United Kingdom Department of Engineering Design Indian Institute of Technology Madras India Lucknow Uni Lucknow India CSJM Uni Kanpur India UPPCB Lucknow India PCB Roorkee India Awadh Uni Faijabad India Agra Uni Agra India Lero University of Limerick Ireland University of Colorado Denver United States University of Rzeszow Poland Indian Statistical Institute Kolkata India Gannon University PA United States Nanyang Technical University Singapore Singapore Plymouth State University NH United States MIR Labs United States Cochin University of Science and Technology India State Project Facilitation Unit TEQIP Kerala India Technical University of Vienna Austria University of Cordoba Spain Clausthal University of Technology Germany Aristotle University of Thessaloniki Greece Androtics LLC TucsonAZ United States Tokyo Metropolitan University Japan Federal Unive

来源：评论

学校读者我要写书评

暂无评论

Implementation and test of human-operated and human-like adaptive impedance controls on Baxter robot

Implementation and test of human-operated and human-like ada...

引用

15th Annual Conference on Advances in Autonomous robotics systems, TAROS 2014

作者： Liang, Peidong Yang, Chenguang Wang, Ning Li, Zhijun Li, Ruifeng Burdet, Etienne Centre for Robotics and Neural Systems School of Computing and Mathematics Plymouth University United Kingdom MOE Key Lab. of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology China State Key Laboratory of Robotics and System Harbin Institute of Technology China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Department of Bioengineering Imperial College of Science Technology and Medicine London United Kingdom

ISBN: (纸本)9783319104003

This paper presents an improved method to teleoperate impedance of a robot based on surface electromyography (EMG) and test it experimentally. Based on a linear mapping between EMG amplitude and stiffness, an incremental stiffness extraction method is developed, which uses instantaneous amplitude identified from EMG in a high frequency band, compensating for non-linear residual error in the linear mapping and preventing muscle fatigue from affecting the control. Experiments on one joint of the Baxter robot are carried out to test the approach in a disturbance attenuation task, and to compare it with automatic human-like impedance adaptation. The experimental results demonstrate that the new human operated impedance method is successful at attenuating disturbance, and results similarly to as automatic disturbance attenuation, thus demonstrating its efficiency. © 2014 Springer International Publishing.

关键词： Stiffness

来源：评论

学校读者我要写书评

暂无评论

Large scale image understanding with non-convex multi-task learning

Large scale image understanding with non-convex multi-task l...

引用

International Conference on Game Theory for Networks, GameNets

作者： Liang Li Chenggang Yan Xing Chen Shuqiang Jiang Seungmin Rho Jian Yin Baochen Jiang Qingming Huang University of Chinese Academy of Sciences Beijing China Department of Automation Tsinghua University Beijing China Academy of Mathematics and Systems Science CAS Beijing China National Center for Mathematics and Interdisciplinary Sciences Chinese Academy of Sciences(CAS) Beijing China Key Lab of Intell. Info. Process. Inst. of Comput. Tech. CAS Beijing China Department of Multimedia Sungkyul University Korea Department of Computer Shandong University Weihai China

ISBN: (纸本)9781479979035

Large scale image understanding is drawing more and more attention from the researchers and industry. Inspired by the game theory and machine learning algorithm, this paper proposes a semantic dictionary to solve the key problem of visual polysemia and concept polymorphism in the large scale image understanding. The semantic dictionary characterizes the probability distribution between visual appearances and semantic concepts, and the learning of semantic dictionary is formulated into a minimization problem of the payoffs, where the players adjudge their strategies (i.e. the probability distribution) at each iteration. Non-convex multi-task learning is introduced to solve the above optimization problem. Finally, the wide applications of semantic dictionary are validated in our experiments, including the large scale semantic image search and image annotation.

关键词： Semantics Optimization

来源：评论

学校读者我要写书评

暂无评论

Model-order reduction of biochemical reaction networks

Model-order reduction of biochemical reaction networks

引用

European Control Conference (ECC)

作者： Shodhan Rao Arjan van der Schaft Karen van Eunen Barbara M. Bakker Bayu Jayawardhana Center for Systems Biology University of Groningen Johann Bernoulli Institute for Mathematics and Computer Science University of Groningen Department of Paediatrics Universitair Medisch Centrum Groningen Discrete Technology and Production Automation University of Groningen

ISBN: (纸本)9781479901890

In this paper we propose a model-order reduction method for chemical reaction networks governed by general enzyme kinetics, including the mass-action and Michaelis-Menten kinetics. The model-order reduction method is based on the Kron reduction of the weighted Laplacian matrix which describes the graph structure of complexes in the chemical reaction network. We apply our method to a yeast glycolysis model, where the simulation result shows that the transient behaviour of a number of key metabolites of the reduced-order model is in good agreement with those of the full-order model.

关键词： Mathematical model Kinetic theory Chemicals Vectors Reduced order systems Biological system modeling Biochemistry

来源：评论

学校读者我要写书评

暂无评论

Rotary-Wing UAVs Trajectory Planning by Distributed Linear MPC with Reconfigurable Communication Network Topologies

引用

IFAC Proceedings Volumes 2013年第27期46卷 198-205页

作者： Alexandra Grancharova Esten I. Grøtli Tor A. Johansen Institute of System Engineering and Robotics Bulgarian Academy of Sciences Acad. G. Bonchev str. Bl.2 P.O. Box 79 Sofia 1113 Bulgaria (Tel: +*** ) Department of Industrial Automation University of Chemical Technology and Metallurgy 8 Sv. Kliment Ohridski Blvd. Sofia 1756 Bulgaria Department of Engineering Cybernetics Norwegian University of Science and Technology 7491 Trondheim Norway Center for Autonomous Marine Operations and Systems (AMOS) Department of Engineering Cybernetics Norwegian University of Science and Technology 7491 Trondheim Norway

In this paper, a distributed approach to Model Predictive Control (MPC)-based trajectory planning for rotary-wing UAV (Unmanned Aerial Vehicle) communication network topologies under radio path loss constraints is proposed. The goal is to find trajectories that are safe with respect to grounding and collision, fuel efficient and satisfy criteria for communication such that the UAVs form chains to multiple targets with given radio communication capacities. The MPC-based optimization sub-problems are computed autonomously within each UAV, using convex quadratic programming, with the requirement that each UAV communicates its current measured position to all other UAVs. In addition, a simple coordination between UAVs allows for the communication network topology to be reconfigured in case of failures or radio path loss changes. The control performance of the distributed linear MPC trajectory planning is studied based on a simulation case with four UAVs and two targets.

关键词： Autonomous vehicles, Radio-communication, Path planning, Predictive control, Distributed control, Constraints, Multi-vehicle coordination

来源：评论

学校读者我要写书评

暂无评论

Cortex Inspired Model for Inverse Kinematics Computation for a Humanoid Robotic Finger

Cortex Inspired Model for Inverse Kinematics Computation for...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Rodolphe J. Gentili Hyuk Oh Javier Molina James A. Reggia José L. Contreras- Vidal Department of Kinesiology School of Public Health Maryland Robotics Center Neuroscience and Cognitive Science Program University of Maryland College Park MD 20742 USA Neuroscience and Cognitive Science Program University of Maryland College Park MD 20742 USA Department of Systems Engineering and Automation Technical University of Cartagena 30202 Cartagena Spain Department of Computer Science University of Maryland Institute for Advanced Computer Studies University of Maryland College Park MD 20742 USA Department of Electrical and Computer Engineering University of Houston Houston TX 77004 USA

ISBN: (纸本)9781424441198

In order to approach human hand performance levels, artificial anthropomorphic hands/fingers have increasingly incorporated human biomechanical features. However, the performance of finger reaching movements to visual targets involving the complex kinematics of multijointed, anthropomorphic actuators is a difficult problem. This is because the relationship between sensory and motor coordinates is highly nonlinear, and also often includes mechanical coupling of the two last joints. Recently, we developed a cortical model that learns the inverse kinematics of a simulated anthropomorphic finger. Here, we expand this previous work by assessing if this cortical model is able to learn the inverse kinematics for an actual anthropomorphic humanoid finger having its two last joints coupled and controlled by pneumatic muscles. The findings revealed that single 3D reaching movements, as well as more complex patterns of motion of the humanoid finger, were accurately and robustly performed by this cortical model while producing kinematics comparable to those of humans. This work contributes to the development of a bioinspired controller providing adaptive, robust and flexible control of dexterous robotic and prosthetic hands.

关键词： reaching prosthetic providing

来源：评论

学校读者我要写书评

暂无评论

Motion Planning for Steep Hill Climbing

Motion Planning for Steep Hill Climbing

引用

2011 IEEE International Conference on robotics and automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

作者： Damion Dunlap Wei Yu Emmanuel G. Collins Charmane V. Caldwell Automation & Dynamics Branch Littoral Warfare Science & Technology Department of the US Naval Surfac Center for Intelligent Systems Control and Robotics (CISCOR) and the Department of Mechanical Engine Department of Electrical Engineering Florida A&M University-Florida State UniversityTallahasseeFL

The motors or engines of an autonomous ground vehicles (AGV) have torque and power limitations, which limit their abilities to climb steep hills, which are defined to be hills that have high grade sections in which the vehicle is forced to decelerate. Traversal of a steep hill requires the vehicle to have sufficient momentum before entering the hill. This problem is part of a larger class of momentum-based motion planning problems such as the problem of lifting heavy objects with manipulators. Hence, solutions to the steep hill climbing problem have much wider applicability. The motion planning here is accomplished using a dynamic model of the skid-steered AGV used in the experiments along with Sampling Based Model Predictive Control (SBMPC), a recently developed input sampling planning algorithm that may be viewed as a generalization of LPA* to the direct use of kinodynamic models. The motion planning is demonstrated experimentally using two scenarios, one in which the robot starts at rest at the bottom of a hill and one in which the robot starts at rest a distance from the hill. The first scenario requires the AGV to first reverse direction so that the vehicle can gather enough momentum before reaching the hill. This corresponds to having the vehicle begin at a local minimum, which results in a problem that many traditional model predictive control methods cannot solve. It is seen that, whereas open loop trajectories can lead to vehicle immobilization, SBMPC successfully uses the information provided by the dynamic model to ensure that the AGV has the requisite momentum.

关键词： Vehicles Planning Predictive models Optimization DC motors Trajectory Vehicle dynamics

来源：评论

学校读者我要写书评

暂无评论

Introduction

Communications and Control Engineering

引用

Communications and Control Engineering 2011年第9780857292551期 1-15页

作者： Sun, Zhendong Ge, Shuzhi Sam College Automation Science & Engineering Center for Control and Optimization South China University of Technology Guangzhou510640 China Department of Electrical and Computer Engineering The National University of Singapore Singapore Singapore Robotics Institue and Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China Chengdu China

Chapter 1 briefly introduces the problem formations and the organization of the book. In particular, given a feasible set of switching signals, the concepts of stability and stabilizability are introduced, and the related problems of stability and stabilization are briefly formulated and discussed. Examples and simulations are provided to exhibit the primary features of the problems with various switching mechanisms. © 2011, Springer-Verlag London Limited.

关键词： Stabilization

来源：评论

学校读者我要写书评

暂无评论

Reports of the AAAI 2010 fall symposia

Reports of the AAAI 2010 fall symposia

引用

作者： Azevedo, Roger Biswas, Gautam Bohus, Dan Carmichael, Ted Finlayson, Mark A. Hadzikadic, Mirsad Havasi, Catherine Horvitz, Eric Kanda, Takayuki Koyejo, Oluwasanmi Lawless, William F. Lenat, Doug Meneguzzi, Felipe Mutlu, Bilge Oh, Jean Pirrone, Roberto Raux, Antoine Sofge, Donald A. Sukthankar, Gita Van Durme, Benjamin Yorke-Smith, Neil Department of Educational and Counseling Psychology McGill University Canada Center for Intelligent Systems Vanderbilt University United States Microsoft Research Redmond United States Department of Software and Information Systems University of North Carolina Charlotte United States Complex Systems Institute United States Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology United States Media Lab. Massachusetts Institute of Technology United States ATR Intelligent Robotics and Communication Laboratories Kyoto Japan Department of Electrical and Computer Engineering University of Texas Austin United States Department of Mathematics Paine College Augusta GA United States Cycorp Austin TX United States Robotics Institute Carnegie Mellon University United States Department of Computer Sciences University of Wisconsin Madison United States University of Palermo Italy Honda Research Institute United States Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington DC United States Department of Electrical Engineering and Computer Science University of Central Florida United States Department of Computer Science Johns Hopkins University United States American University of Beirut Lebanon SRI International's Artificial Intelligence Center United States

The Association for the Advancement of Artificial Intelligence (AAAI) presented the 2010 Fall Symposium Series on November 11-13, 2010. The eight symposia included Cognitive and Metacognitive Educational systems, Commonsense Knowledge, Complex Adaptive systems: Resilience, Robustness, and Evolvability, Computational Models of Narrative, Dialog with Robots, Manifold Learning and Its Applications, Proactive Assistant Agents and Quantum Informatics for Cognitive, Social, and Semantic Processes. Cognitive and Metacognitive Educational systems aimed to provide a comprehensive definition of metacognitive educational systems that is inclusive of the theoretical, architectural, and educational aspects of this field. The AAAI Commonsense Knowledge Fall Symposium had the goal of bringing together the diverse elements of this community whose work benefits from or contributes to the representation of general knowledge about the world. One of the specific goals of Proactive symposium was to gather the researchers from various projects in assistant agents to share their wisdom in retrospect.

关键词： Semantics

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：