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IEEE Conference on Decision and control

作者： S. Brás P. Rosa C. Silvestre P. Oliveira Laboratory of Robotics and Systems in Engineering and Science (LARSyS) Instituto Superior Técnico Universidade Técnica de Lisboa Lisbon Portugal Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau Macao China

This paper addresses the problem of Fault Detection and Isolation (FDI) for navigation systems equipped with sensors providing inertial measurements and vector observations. Two strategies are proposed. The first one takes advantage of existing hardware redundancy, providing sufficient conditions for the isolation of faults. The second approach exploits the analytical redundancy between the angular velocity measurements and the vector observations, by resorting to Set-Valued Observers (SVOs). The behavior of both strategies are illustrated in simulation.

关键词： Vectors Redundancy Noise Sensor systems Angular velocity Noise measurement

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Information Generation and Lagrangian Coherent Structures in Multiscroll Attractors *

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IFAC Proceedings Volumes 2012年第12期45卷 93-98页

作者： Filipe I. Fazanaro Diogo C. Soriano Ricardo Suyama Marconi K. Madrid Romis Attux José Raimundo de Oliveira Modular Robotic Systems Laboratory (LSMR) Department of Computer Engineering and Industrial Automation (DCA) School of Electrical and Computer Engineering (FEEC) UNICAMP Brazil Centro de Engenharia Modelagem e Ciências Sociais Aplicadas Universidade Federal do ABC (UFABC) Santo André Brazil LSMR Department of Energy Control and Systems (DSCE) FEEC UNICAMP Laboratory of Signal Processing for Communications (DSPCom) DCA FEEC UNICAMP

The present work aims to apply a recently alternative approach to estimate the Lyapunov exponents that is suitable for such piecewise linear model in order of characterizing - with the aid of the metric entropy - the degree of information generated by several kinds of multiscroll attractors. Another analytical path is followed with the extraction of the corresponding Lagrangian coherent structures, which allows the determination of the dynamical system separatrices and also of the folding/stretching behavior that results in chaos. Overall, the reported study can be understood as an investigation, from distinct theoretical standpoints, of key aspects regarding the dynamic behavior of systems capable of engendering multiscroll structures.

关键词： chaotic behavior fractal dimension information generation Lagrangian coherent structures Lyapunov exponents multiscroll chaotic attractors non-smooth models

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Robust decentralized dynamic control for synchronization of a complex dynamical network with randomly occurring uncertainties

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Nonlinear Dynamics 2012年第1期70卷 559-570页

作者： Lee, Tae H. Park, Ju H. Wu, Zheng-Guang Lee, Sang-Choel Lee, Dong Ha Nonlinear Dynamics Group Department of Electrical Engineering Yeungnam University Kyongsan Republic of Korea National Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Yuquan Campus Hangzhou Zhejiang P.R. China Division of IT Convergence/Division of Robotics System DGIST Daegu Republic of Korea

This paper considers synchronization problem of an uncertain complex dynamical network. The norm-bounded uncertainties enter into the complex dynamical network in randomly ways, and such randomly occurring uncertainties (ROUs) obey certain mutually uncorrelated Bernoulli distributed white noise sequences. Under the circumstances, a robust $\mathcal{H}_{\infty}$ decentralized dynamic feedback controller is designed to achieve asymptotic synchronization of the network. Based on Lyapunov stability theory and linear matrix inequality (LMI) framework, the existence condition for feasible controllers is derived in terms of LMIs. Finally, the proposed method is applied to a numerical example in order to show the effectiveness of our result.

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New results on synchronization for complex dynamical networks with time-varying coupling delay and sampled-data

New results on synchronization for complex dynamical network...

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International Conference on control, Automation and systems ( ICCAS)

作者： Zheng-Guang Wu Ju H. Park Bo Song Sang-Choel Lee Dong Ha Lee Department of Electrical Engineering Yeungnam University Kyongsan South Korea National Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou Zhejiang China Division of IT Convergence/Division of Robotics System DGIST Daegu South Korea

This paper is concerned with the synchronization problem for complex dynamical networks with time-varying coupling delay and sampled-data. The sampling period considered here is assumed to be time-varying but bounded. A novel exponential synchronization condition is established based on the Gronwall's inequality, and an explicit expression for a set of sampled-data synchronization controllers is also given in terms of the solution to linear matrix inequalities. A numerical example is introduced to show the effectiveness of the given result.

关键词： Synchronization Delay Symmetric matrices Couplings Complex networks Trajectory Time varying systems

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Recent advances on the energy management of a Hybrid Electric Vehicle

Recent advances on the energy management of a Hybrid Electri...

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Mediterranean Conference on control & Automation

作者： D. S. Efstathiou A. K. Petrou P. Spanoudakis N. C. Tsourveloudis K. P. Valavanis Intelligent Systems and Robotics Lab Technical University of Crete Chania Greece Machine Tools Laboratory Technical University of Crete Chania Greece Department of Electrical and Computer Engineering University of Denver Denver CO 80208 USA

ISBN: (纸本)9781467325301

This paper presents new innovative subsystems of the ER11 prototype urban vehicle which is powered by hydrogen fuel cells and ultra-capacitors. The subsystems described here are: 1) the energy management system, which is responsible for the optimization of the fuel efficiency and the increased mileage of the vehicle, 2) the driver's monitoring and control panel and 3) the power transmission system, which offers the possibility of continuous change of gear. The powertrain of the test-bed vehicle consists of an electric motor, a fuel (Η2) cell system, an ultra-capacitor bank and a DC/DC converter. Testing verified that the proposed energy management system is benefitted by the variable transmission of power leading to less fuel consumption.

关键词： Recent advances energy management Hybrid Electric Vehicle

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Reinforcement Learning control Based on Multi-Goal Representation Using Hierarchical Heuristic Dynamic Programming

Reinforcement Learning Control Based on Multi-Goal Represent...

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International Joint Conference on Neural Networks

作者： Zhen Ni Haibo He Dongbin Zhao Danil V. Prokhorov Department of Electrical Computer and Biomedical Engineering University of Rhode Island State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Toyota Research Institute NA TTC

ISBN: (纸本)9781467314886

We are interested in developing a multi-goal generator to provide detailed goal representations that help to improve the performance of the adaptive critic design (ACD). In this paper we propose a hierarchical structure of goal generator networks to cascade external reinforcement into more informative internal goal representations in the ACD. This is in contrast with previous designs in which the external reward signal is assigned to the critic network directly. The ACD control system performance is evaluated on the ball-and-beam balancing benchmark under noise-free and various noisy conditions. Simulation results in the form of a comparative study demonstrate effectiveness of our approach.

关键词： ACD gene Automatic Shutoff Devices noise-free critic hierarchical structure Noise learning (artificial intelligence) dynamic programming Generator dynamos Heuristics

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Predictive control for Autonomous Aerial Vehicles Trajectory Tracking

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IFAC Proceedings Volumes 2012年第17期45卷 508-513页

作者： Ionela Prodan Ricardo Bencatel Sorin Olaru João Borges de Sousa Cristina Stoica Silviu-Iulian Niculescu SUPELEC Systems Sciences (E3S) - Automatic Control Department 3 rue Joliot Curie 91192 Gif sur Yvette France Laboratory of Signals and Systems SUPELEC - CNRS 3 rue Joliot Curie 91192 Gif sur Yvette France Department of Electrical and Computer Engineering School of Engineering University of Porto 4200 Porto Portugal

This paper addresses a predictive control strategy for Unmanned Air Vehicles in the presence of bounded disturbances. The goal is to guarantee tracking capabilities with respect to a reference trajectory which is pre-specified using the differential flatness formalism. Furthermore, an off-line linearization strategy of the nonlinear model of the vehicle along the flat trajectory is proposed. Since the reference trajectory is available beforehand, an optimization problem which minimizes the tracking error for the vehicle is formulated in a predictive control framework. The proposed method exhibits effective performance validated through software-in-the-loop simulations for the control of Unmanned Aerial Vehicles (UAVs).

关键词： Unmanned Aerial Vehicle (UAV) differential flatness constrained Model Predictive control (MPC)

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Reports of the AAAI 2011 conference workshops

Reports of the AAAI 2011 conference workshops

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作者： Agmon, Noa Agrawal, Vikas Aha, David W. Aloimonos, Yiannis Buckley, Donagh Doshi, Prashant Geib, Christopher Grasso, Floriana Green, Nancy Johnston, Benjamin Kaliski, Burt Kiekintveld, Christopher Law, Edith Lieberman, Henry Mengshoel, Ole J. Metzler, Ted Modayil, Joseph Oard, Douglas W. Onder, Nilufer O'Sullivan, Barry Pastra, Katerina Precup, Doina Ramachandran, Sowmya Reed, Chris Sariel-Talay, Sanem Selker, Ted Shastri, Lokendra Singh, Satinder Smith, Stephen F. Srivastava, Siddharth Sukthankar, Gita Uthus, David C. Williams, Mary-Anne Department of Computer Science University of Texas at Austin United States Center for Knowledge Driven Information Systems Infosys Labs India Adaptive Systems Section Naval Research Laboratory Washington DC United States Department of Computer Science University of Maryland College Park United States EMC's Center of Excellence in Ireland Research Europe at EMC Ireland Department of Computer Science University of Georgia United States School of Informatics University of Edinburgh United Kingdom Department of Computer Science University of Liverpool United Kingdom Department of Computer Science University of North Carolina Greensboro United States Faculty of Engineering and Information Technology University of Technology Sydney Australia VeriSign Inc. United States Department of Computer Science University of Texas at El Paso United States Machine Learning Department Carnegie Mellon University United States Massachusetts Institute of Technology Media Laboratory United States Carnegie Mellon University's Silicon Valley Campus United States Darrell W. Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computing Science University of Alberta Canada College of Information Studies Institute for Advanced Computer Studies University of Maryland College Park United States Department of Computer Science Michigan Technological University United States Department of Computer Science University College Cork Ireland Cognitive Systems Research Insitute Athens Greece School of Computer Science McGill University Canada Stottler Henke Inc. United States School of Computing University of Dundee United Kingdom Department of Computer Engineering Istanbul Technical University Turkey Convergence Lab Infosys Technologies Ltd. United States Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor United States Robotics Institute Carnegie Mellon University United States University of Wisconsin

The AAAI-11 workshop program was held Sunday and Monday, August 7-18, 2011, at the Hyatt Regency San Francisco in San Francisco, California USA. The AAAI-11 workshop program included 15 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Activity Context Representation: Techniques and Languages;Analyzing Microtext;Applied Adversarial Reasoning and Risk Modeling;Artificial Intelligence and Smarter Living: The Conquest of Complexity;Artifiicial Intelligence for Data Center Management and Cloud Computing;Automated Action Planning for Autonomous Mobile Robots;Computational Models of Natural Argument;Generalized Planning;Human Computation;Human-Robot Interaction in Elder Care;Interactive Decision Theory and Game Theory, 2010;Language-Action Tools for Cognitive Artificial Agents: Integrating Vision, Action, and Language;Lifelong Learning from Sensorimotor Experience;Plan, Activity, and Intent Recognition;and Scalable Integration of Analytics and Visualization. This article presents short summaries of those events. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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Towards an ontology for autonomous robots

Towards an ontology for autonomous robots

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25th IEEE/RSJ International Conference on robotics and Intelligent systems, IROS 2012

作者： Paull, Liam Severac, Gaetan Raffo, Guilherme V. Angel, Julian Mauricio Boley, Harold Durst, Phillip J. Gray, Wendell Habib, Maki Nguyen, Bao Ragavan, S. Veera Saeedi G., Sajad Sanz, Ricardo Seto, Mae Stefanovski, Aleksandar Trentini, Michael Li, Howard COBRA Department of Electrical and Computer Engineering University of New Brunswick Fredericton NB E3B 5A3 Canada ONERA-University of Toulouse France Department of Automation and Systems Federal University of Santa Catarina Brazil Department of Computer Engineering Pontificia Universidad Javeriana Bogot Colombia National Research Council Canada US Army ERDC 3909 Halls Ferry Road Vicksburg MS 39180 United States Mechanical Engineering Department School of Sciences and Engineering American University in Cairo New Cairo Egypt Defence Research and Development Canada-CORA Ottawa ON Canada Monash University Sunway Campus Australia Systems Engineering and Automatic Control Autonomous Systems Laboratory Research Group Universidad Politcnica de Madrid Madrid Spain Defence Research and Development Canada-Atlantic Dartmouth NS Canada Department of Computer Science George Washington University United States Defence R and D Canada-Suffield PO Box 4000 Station Main Medicine Hat AB T1A 8K6 Canada

ISBN: (纸本)9781467317375

The IEEE RAS Ontologies for robotics and Automation Working Group is dedicated to developing a methodology for knowledge representation and reasoning in robotics and automation. As part of this working group, the Autonomous Robots sub-group is tasked with developing ontology modules for autonomous robots. This paper describes the work in progress on the development of ontologies for autonomous systems. For autonomous systems, the focus is on the cooperation, coordination, and communication of multiple unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), and autonomous underwater vehicles (AUVs). The ontologies serve as a framework for working out concepts of employment with multiple vehicles for a variety of operational scenarios with emphasis on collaborative and cooperative missions. © 2012 IEEE.

关键词： Ontology

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A Recursive Local Linear Estimator for Identification of Nonlinear ARX systems *

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IFAC Proceedings Volumes 2012年第16期45卷 1517-1522页

作者： Wen-Xiao Zhao Wei Xing Zheng Er-Wei Bai Key Laboratory of Systems and Control Academy of Mathematics and Systems Science CAS Beijing P. R. China National Center for Mathematics and Interdisciplinary Sciences CAS Beijing P. R. China School of Computing Engineering and Mathematics University of Western Sydney Penrith NSW 2751 Australia Department of Electrical and Computer Engineering University of Iowa Iowa City IA 52242 USA

In this work, we propose a recursive local linear estimator (RLLE) for identification of nonlinear autoregressive systems with exogenous inputs, along with an analysis of its strong consistency and asymptotical mean s... 详细信息

关键词： Nonlinear ARX systems recursive identification local linear estimator almost sure convergence

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