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2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012

作者： Ma, Jianjun Li, Yanan Ge, Shuzhi Sam Social Robotics Laboratory Interactive Digital Media Institute National University of Singapore Singapore 119077 Singapore Department of Automatic Control College of Mechatronics and Automation National University of Defense Technology Changsha 410073 China NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore 119613 Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Robotics Institute School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9781467312776

The cable-driven mechanism is usually used in robotic systems for the efficient transmission of forces or torques from actuators to the end-effector. However, the control design is challenging for these systems due to the cable compliance and transmission elasticity. In this paper, adaptive control in a cascaded structure is designed for the trajectory tracking of a cable driven robot arm. The desired control input is obtained by developing an adaptation scheme, which does not require the computation of the regressor matrix. Proportional-derivative (PD) control is designed to specify the actual control input such that the trajectory tracking is achieved. Simulation results are provided to show the effectiveness of the proposed method. © 2012 IEEE.

关键词： Cables

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Supervisory control Design for Networked systems with Time-Varying Communication Delays

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IFAC Proceedings Volumes 2012年第9期45卷 133-140页

作者： Burak Demirel Corentin Briat Mikael Johansson Automatic Control Laboratory School of Electrical Engineering KTH Royal Institute of Technology Stockholm SE-100 44 SWEDEN Department of Mathematics Division of Optimization and Systems Theory KTH Royal Institute of Technology Stockholm SE-100 44 SWEDEN

This paper proposes a supervisory control structure for networked systems with time-varying delays. The control structure, in which a supervisor triggers the most appropriate controller from a multi-controller unit, aims at improving the closed-loop performance relative to what can be obtained using a single robust controller. Our analysis considers average dwell-time switching and is based on a novel multiple Lyapunov-Krasovskii functional. We develop analysis conditions that can be verified by semi-definite programming, and show that associated state feedback synthesis problem also can be solved using convex optimization. Small and large scale networked control systems are used to illustrate the effectiveness of our approach.

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Switching control design for accommodating large step-down disturbances in bipedal robot walking

Switching control design for accommodating large step-down d...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Hae-Won Park Koushil Sreenath Alireza Ramezani J.W. Grizzle Mechanical Engineering Department University of Michigan Ann Arbor MI USA Control Systems Laboratory Electrical Engineering and Computer Science Department University of Michigan Ann Arbor MI USA

This paper presents a feedback controller that allows MABEL, a kneed, planar bipedal robot, with 1 m-long legs, to accommodate an abrupt 20 cm decrease in ground height. The robot is provided information on neither where the step down occurs, nor by how much. After the robot has stepped off a raised platform, however, the height of the platform can be estimated from the lengths of the legs and the angles of the robot's joints. A real-time control strategy is implemented that uses this on-line estimate of step-down height to switch from a baseline controller, that is designed for flat-ground walking, to a second controller, that is designed to attenuate torso oscillation resulting from the step-down disturbance. After one step, the baseline controller is re-applied. The control strategy is developed on a simplified-design model of the robot and then verified on a more realistic model before being evaluated experimentally. The paper concludes with experimental results showing MABEL (blindly) stepping off a 20 cm high platform.

关键词： Legged locomotion Torso Switches Mathematical model Optimization

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Design and experimental implementation of a compliant hybrid zero dynamics controller with active force control for running on MABEL

Design and experimental implementation of a compliant hybrid...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Koushil Sreenath Hae-Won Park J. W. Grizzle Control Systems Laboratory Electrical Engineering and Computer Science Department University of Michigan Ann Arbor MI USA Mechanical Engineering Department University of Michigan Ann Arbor MI USA

This paper presents a control design based on the method of virtual constraints and hybrid zero dynamics to achieve stable running on MABEL, a planar biped with compliance. In particular, a time-invariant feedback controller is designed such that the closed-loop system not only respects the natural compliance of the open-loop system, but also enables active force control within the compliant hybrid zero dynamics and results in exponentially stable running gaits. The compliant-hybrid-zero-dynamics-based controller with active force control is implemented experimentally and shown to realize stable running gaits on MABEL at an average speed of 1.95 m/s (4.4 mph) and a peak speed of 3.06 m/s (6.8 mph). The obtained gait has flight phases upto 39% of the gait, and an estimated ground clearance of 7.5 - 10 cm.

关键词： Springs Dynamics Robot kinematics Torso Legged locomotion Actuators

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Agent-based cyber control strategy design for resilient control systems: Concepts, architecture and methodologies

Agent-based cyber control strategy design for resilient cont...

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International Symposium on Resilient control systems, ISRCS

作者： Craig Rieger Quanyan Zhu Tamer Başar Instrumentation Control & Intelligent Systems Idaho National Laboratory Idaho USA Coordinated Science Laboratory and Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL

The implementation of automated regulatory control has been around since the middle of the last century through analog means. It has allowed engineers to operate the plant more consistently by focusing on overall operations and settings instead of individual monitoring of local instruments (inside and outside of a control room). A similar approach is proposed for cyber security, where current border-protection designs have been inherited from information technology developments that lack consideration of the high-reliability, high consequence nature of industrial control systems. Instead of an independent development, however, an integrated approach is taken to develop a holistic understanding of performance. This performance takes shape inside a multi-agent design, which provides a notional context to model highly decentralized and complex industrial process control systems, the nervous system of critical infrastructure. The resulting strategy will provide a framework for researching solutions to security and unrecognized interdependency concerns with industrial control systems.

关键词： control systems computer security Sensors Process control Software control theory

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Neural and Fuzzy Dynamic Programming for Under-actuated systems

Neural and Fuzzy Dynamic Programming for Under-actuated Syst...

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International Joint Conference on Neural Networks

作者： Dongbin Zhao Yuanheng Zhu Haibo He State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Department of Electrical Computer and Biomedical Engineering University of Rhode Island

ISBN: (纸本)9781467314886

This paper aims to integrate the fuzzy control with adaptive dynamic programming (ADP) scheme, to provide an optimized fuzzy control performance, together with faster convergence of ADP for the help of the fuzzy prior knowledge. ADP usually consists of two neural networks, one is the Actor as the controller, the other is the Critic as the performance evaluator. A fuzzy controller applied in many fields can be used instead as the Actor to speed up the learning convergence, because of its simplicity and prior information on fuzzy membership and rules. The parameters of the fuzzy rules are learned by ADP scheme to approach optimal control performance. The feature of fuzzy controller makes the system steady and robust to system states and uncertainties. Simulations on under-actuated systems, a cart-pole plant and a pendubot plant, are implemented. It is verified that the proposed scheme is capable of balancing under-actuated systems and has a wider control zone.

关键词： Adaptive dynamic programming Fuzzy control Neural network Underactutaed system Cart-pole plant Pendubot

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Distributed Output Regulation for Multi-agent systems with Unknown Communication Delays

Distributed Output Regulation for Multi-agent Systems with U...

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The 24th Chinese control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Lu Yu Jinzhi Wang Zhong-Ping Jiang Yiguang Hong State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Aerospace Engin Department of Electrical and Computer Engineering Polytechnic Institute of New York University Bro Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy o

In this paper, the distributed output regulation problem of multi-agent linear systems with communication time delays is studied, by means of both dynamic state and output feedback control laws. Given bounded communication delays, distributed control laws are designed via linear matrix inequalities (LMI). Both delay-independent and delaydependent conditions are discussed.

关键词： Multi-agent systems Output Regulation Time Delay

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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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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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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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