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IEEE Annual Conference on Decision and control

作者： Weibo Gong Complex Systems Modeling and Control Laboratory Department of Electrical and Computer Engineering University of Massachusetts Amherst MA 01002 U.S.A.

ISBN: (纸本)9781467357159

While neurons in the brain are individually quite slow, collectively they can recognize concrete objects as well as abstract concepts very quickly. Motivated by this puzzling fact we propose biologically plausible algorithms that are capable of quickly recognizing similar graph structures. Graphs are combinatorial constructions and pose serious challenges to similarity testing. In this paper we use the transient behavior of random walk over graphs to compare their spectral resolution. We collect data from intrinsically parallel random walks to form a graph response function as an effective measure of graph similarity. Our algorithm could be a solution to the long standing mystery of content addressability in the brain.

关键词： Testing Eigenvalues and eigenfunctions Transient analysis Heuristic algorithms Markov processes Heating computers

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Joint ASV/AUV range-based formation control: Theory and experimental results

Joint ASV/AUV range-based formation control: Theory and expe...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Jorge M. Soares A. Pedro Aguiar António M. Pascoal Alcherio Martinoli Laboratory of Robotics and Systems in Engineering and Science Instituto SuperiorTécnico Technical University of Lisbon Lisboa Portugal Department of Electrical and Computer Engineering Faculty of Engineering University of Porto Porto Portugal

ISBN: (纸本)9781467356404

The use of groups of autonomous marine vehicles has enormous potential in numerous marine applications, perhaps the most relevant of which is the surveying and exploration of the oceans, still widely unknown and misunderstood. In many mission scenarios requiring the concerted operation of multiple marine vehicles carrying distinct, yet complementary sensor suites, relative positioning and formation control becomes mandatory. However, the constraints placed by the medium make it hard to both communicate and localize vehicles, even in relation to each other. In this paper, we deal with the challenging problem of keeping an autonomous underwater vehicle in a moving triangular formation with respect to 2 leader vehicles. We build upon our previous theoretical work on range-only formation control, which presents simple feedback laws to drive the controlled vehicle to its intended position in the formation using only ranges obtained to the leading vehicles with no knowledge of the formation path. We then introduce the real-world constraints associated with the use of autonomous underwater vehicles, especially the low frequency characteristics of acoustic ranging and its unreliability. We discuss the required changes to implement the solution in our vehicles, and provide simulation results using a full dynamic and communication model. Finally, we present the results of real world trials using MEDUSA-class autonomous marine vehicles.

关键词： Vehicles Vehicle dynamics Acoustics Underwater vehicles Robots Distance measurement

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Incommensurate order fractional optimal control: Application to treatment of psychiatric disorders

Incommensurate order fractional optimal control: Application...

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Iranian Conference on electrical engineering (ICEE)

作者： S. S. Tabatabaei M. J. Yazdanpanah M. S. Tavazoei Department of Electrical Engineering Amirkabir University of Technology Tehran Iran Advanced Control Systems Laboratory Control and Intelligent Processing Center of Excellence School of Electrical and Computer Tehran Iran Electrical Engineering Department Sharif University of Technology Tehran Iran

ISBN: (纸本)9781467356329

The main point of this paper is to present a time domain strategy for drug dosage to treat psychiatric disorders. A time domain model of emotion is obtained from an extension of a recently developed fractional nonlinear dynamic model of happiness. First, the Fractional Optimal control law for incommensurate multi state systems is obtained. It will be then applied as an optimal drug administration procedure in the line of psychiatric disorders treatment. Results of this paper show that optimal control scheme is a proper approach to face the difficulties of analysis and control the incommensurate systems. It can be also clearly seen from the simulation results that this approach is very effective in the case that control methods are used as treatment techniques.

关键词： Mathematical model Drugs Optimal control Numerical models Differential equations Equations

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Investigation of the Impact of the Upstream Induction Zone on LIDAR Measurement Accuracy for Wind Turbine control Applications using Large-Eddy Simulation

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Journal of Physics: Conference Series 2014年第1期524卷

作者： Eric Simley Lucy Y Pao Pieter Gebraad Matthew Churchfield Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO USA Delft Center for Systems and Control Delft University of Technology Delft The Netherlands National Wind Technology Center National Renewable Energy Laboratory Golden CO USA

Several sources of error exist in lidar measurements for feedforward control of wind turbines including the ability to detect only radial velocities, spatial averaging, and wind evolution. This paper investigates another potential source of error: the upstream induction zone. The induction zone can directly affect lidar measurements and presents an opportunity for further decorrelation between upstream wind and the wind that interacts with the rotor. The impact of the induction zone is investigated using the combined CFD and aeroelastic code SOWFA. Lidar measurements are simulated upstream of a 5 MW turbine rotor and the true wind disturbances are found using a wind speed estimator and turbine outputs. Lidar performance in the absence of an induction zone is determined by simulating lidar measurements and the turbine response using the aeroelastic code FAST with wind inputs taken far upstream of the original turbine location in the SOWFA wind field. Results indicate that while measurement quality strongly depends on the amount of wind evolution, the induction zone has little effect. However, the optimal lidar preview distance and circular scan radius change slightly due to the presence of the induction zone.

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Darwinian Robotic Swarms for exploration with minimal communication

Darwinian Robotic Swarms for exploration with minimal commun...

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Congress on Evolutionary Computation

作者： Micael S. Couceiro Rui P. Rocha Nuno M. F. Ferreira Patricia A. Vargas Institute of Systems and Robotics University of Coimbra Coimbra Portugal Department of Electrical Engineering Engineering Institute of Coimbra Robo Corporation Coimbra Portugal Robotics Laboratory School of Mathematical and Computer Science Heriot-Watt University Edinburgh UK

ISBN: (纸本)9781479904532

The Robotic Darwinian Particle Swarm Optimization (RDPSO) recently introduced in the literature has the ability to dynamically partition the whole population of robots based on simple “punish-reward” rules. Although this evolutionary algorithm enables the reduction of the amount of required information exchange among robots, a further analysis on the communication complexity of the RDPSO needs to be carried out so as to evaluate its scalability. This paper analyses the architecture of the RDPSO communication system, thus describing the dynamics of the communication data packet structure shared between teammates. Moreover, a set of simple communication rules is also proposed in order to reduce the communication overhead within swarms of robots. Experimental results with teams of 15 real robots show that the proposed methodology reduces the communication overhead, thus improving the scalability and applicability of the RDPSO algorithm.

关键词： Robot kinematics Robot sensing systems Mobile ad hoc networks Complexity theory Spread spectrum communication Force

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Cooperative AUV Motion Planning using Terrain Information

Cooperative AUV Motion Planning using Terrain Information

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Oceans 2013 - Norway

作者： Andreas J. Hausler Alessandro Saccon Antonio M. Pascoal John Hauser A. Pedro Aguiar Laboratory of Robotics and Systems in Science and Engineering Instituto Superior Tecnico Department of Mechanical Engineering Eindhoven University of Technology Electrical Computer and Energy Engineering Department University of Colorado at Boulder Faculdade de Engenharia University of Porto

ISBN: (纸本)9781479900022

There is widespread interest in the deployment of fleets of marine robots with the potential to roam the oceans freely and collect data at an unprecedented scale. This calls for the development of efficient algorithms for multiple vehicle motion planning that can take directly into account the capabilities of each vehicle as well as the environmental conditions and lend themselves to seamless integration with control and navigation systems. The latter connection is for the most part eschewed in the literature, in spite of the obvious fact that in order for the vehicles to execute the planned motions they must at a later stage navigate with great accuracy and follow the trajectories using control algorithms that take explicitly into account the dynamical constraints of the vehicles involved. Among the methods available for underwater vehicle navigation, terrain-based techniques have recently come to the fore. These techniques avoid the use of overly expensive inertial-like motion sensor units and hold considerable promise for the development of a new breed of affordable long range navigation systems. Motivated by these considerations, we tackle in the present paper the problem of multiple vehicle motion planning by taking explicitly into consideration inter-vehicle collision avoidance, together with a number of criteria that may include simultaneous times of arrival at assigned target points, energy minimization, acoustic communication constraints, and the maximization of terrain information along the vehicle paths (as measured by some appropriate criterion) for terrain-based navigation purposes.

关键词： vehicle motion planning Collision avoidance terrains Autonomous underwater vehicles Data Collection Methods Navigation systems computer algorithms

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Capacity improvement through buffer-aided successive opportunistic relaying

Capacity improvement through buffer-aided successive opportu...

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International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic systems Technology (Wireless VITAE)

作者： N. Nomikos D. Vouyioukas T. Charalambous I. Krikidis D. N. Skoutas M. Johansson Department of Information and Communication Systems Engineering University of the Aegean Greece Automatic Control Laboratory Electrical Engineering Department and ACCESS LinnaeusCenter Royal Institute of Technology Stockholm Sweden Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus

In this work, we propose a buffer-aided successive opportunistic relaying scheme that aims to improve the average capacity of the network when inter-relay interference arises between relays that are selected for transmission and reception. In order to exploit the benefits of buffering at the relays, we propose a relay-pair selection policy that decouples the receiving relay at the previous time slot from being the transmitting relay at the next slot. Furthermore, we impose an interference cancellation threshold allowing the relay that is selected for reception, to decode and subtract the inter-relay interference. The proposed relaying scheme selects the relaying pair that maximizes the average capacity of the relay network. The performance of the proposed scheme is evaluated via simulation and comparisons with other state-of-the-art half and full-duplex relay selection schemes, in terms of outage probability, average capacity and average delay. The results reveal the need for a tradeoff between improving the outage on the cost of reduced capacity and increased delay, and vice versa. Finally, conclusions are drawn and future directions are discussed, including the need for a hybrid scheme incorporating both half and full-duplex characteristics.

关键词： Relays Artificial neural networks Signal to noise ratio

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Quantitative human and robot motion comparison for enabling assistive device evaluation

Quantitative human and robot motion comparison for enabling ...

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IEEE-RAS International Conference on Humanoid Robots

作者： Dana Kulić Muhammad Choudry Gentiane Venture Kanako Miura Eiichi Yoshida Electrical and Computer Engineering Department University of Waterloo Canada Department of Mechanical Systems Engineering Tokyo University of Agriculture and Technology Tokyo Japan CNRS-AIST JRL (Joint Robotics Laboratory) AIST Tsukuba Japan

A promising new application area for humanoid robots is in the area of assistive device testing. Humanoid robots can facilitate the experimental evaluation of assistive devices by providing repeatable, measurable, human-like motion while removing the difficulties and potential safety hazards associated with human trials. To ensure that the humanoid robot is providing a valid test platform, the robot must move in a similar way as a human while wearing the assistive device. This challenge is made difficult due to the inherent variability in human motion. In this paper, we propose an approach for a quantitative comparison between human and robot motion that identifies both the difference magnitude and the difference location, and explicitly handles both spatial and temporal variability of human motion. The proposed approach is demonstrated on data from robot gait and sagittal plane lifting.

关键词： Hidden Markov models Joints Assistive devices Humanoid robots Robot motion Computational modeling

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Real-time navigation for a humanoid robot using particle filter

Real-time navigation for a humanoid robot using particle fil...

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2nd International Conference on engineering and Technology Innovation 2012, ICETI 2012

作者： Baltes, Jacky Cheng, Chi Tai Lau, Meng Cheng Espínola, Andrés Autonomous Agents Lab Department of Computer Science University of Manitoba Winnipeg MB R3T 2N2 Canada Department of Electrical Engineering Tamkang University Tamsui Dist. New Taipei City 25137 Taiwan Mobile Robotics and Automated Systems Laboratory Universidad La Salle Benjamin Franklin 47 Mexico DF Mexico

ISBN: (纸本)9783037856123

This paper presents a practical real-time visual navigation system, including a vision system, a particle filter (PF) based localization system, and a path planning system, for humanoid robots in an indoor environment. A neural network (NN) converter system is used to solve the image distortion problem. The monocular vision system detects objects of interest in the scene, calculating their position in the image, and converting the position in the image to real world coordinates. The PF localization system estimates the current position by the robot's motion model and corrects the estimated position by using feedback from the data gathered by the vision system. The path planning system determines the next motion based on the result of the localization system. This paper uses a tree-like path planning method which not only guides the robot to the destination but also avoids obstacles at the same time. The navigation method allows a user to assign several different target destinations to the robot simultaneously. The proposed method is implemented on a humanoid robot "ROBOTIS DARwIn-OP", an open platform humanoid robot. The effectiveness of the system is demonstrated in an empirical evaluation. © (2013) Trans Tech Publications, Switzerland.

关键词： Bandpass filters

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Global output feedback stabilization for a class of nonlinear planar systems with output-dependent growth rates

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IFAC Proceedings Volumes 2013年第20期46卷 683-688页

作者： Xiangyu Wang Chunjiang Qian Shihua Li School of Automation Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education China Department of Electrical and Computer Engineering The University of Texas at San Antonio San Antonio TX 78249 USA

In this paper, we consider the global output feedback stabilization problem for a class of nonlinear planar systems under a more general growth condition. The nonlinearities in such a system are bounded by both lower-order and higher-order terms with an output-dependent growth rate. This problem is solved by integrating the feedback domination technique and a novel dual observer approach, where two individual observers are constructed in parallel with one estimating the linear part of the unmeasurable state and the other estimating the higher-order part. Moreover, the presented observers and the output feedback controller all have nonlinear gains. Simulations illustrate the effectiveness of the proposed stabilization scheme.

关键词： Output feedback stabilization Nonlinear planar systems Output-dependent growth rates Dual observer Nonlinear gains

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