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RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Seyyed M. Mehdi Dehghan Mohammad Saberi Tavakkoli Hadi Moradi Advanced Robotics and Intelligent Systems laboratory Control and Intelligent Processing Center School of Electrical and Computer Engineering University of Tehran Tehran Iran

This paper presents a path planning approach of several UAVs for Radio Frequency (RF) source localization in None Line Of Sight (NLOS) propagation condition using the Received Signal Strength Indication (RSSI). The paths are planned such that the lower bound of standard deviation of localization error, which is equivalent to the Cramer-Rao Lower Bound (CRLB) of the estimation, minimized at any time. Due to the complexity of Jacobin calculation to perform global CRLB optimization, the local values of CRLBs in the current waypoint and next probable waypoints are used in the steepest decent approach to determine the best path. Furthermore, the complexity is reduced by discretizing the space for UAVs to make the computation feasible. The effect of NLOS propagation on the RSSI measurements is simulated by a log-normal distribution and the last estimation of radio source location is used to calculate the local CRLBs. The proposed approach has been simulated and compared with the basic bio-inspired approach of going toward the sensed direction of the source. The result shows better performance than the basic approach.

关键词： Jacobian matrices Noise

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A multi-step Gaussian filtering approach to reduce the effect of non-Gaussian distribution in aerial localization of an RF source in NLOS condition

A multi-step Gaussian filtering approach to reduce the effec...

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RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Seyyed M. Mehdi Dehghan Hadi Moradi Advanced Robotics and Intelligent Systems laboratory Control and Intelligent Processing Center School of Electrical and Computer Engineering University of Tehran Tehran Iran

The hybrid localization using Angle of Arrival (AOA) and Received Strength Signal Indicator (RSSI) of an RF source, such as a cell phone in a search and rescue mission, with unknown power and None Line Of Sight (NLOS) condition have been proven to be advantageous compared to using each method separately. The hybrid approach has been proposed to benefit from both RSSI and AOA measurements. In this paper, the initial hybrid method, which was implemented using particle filters due to the multi-modal/non-Gaussian nature of localization in NLOS condition, has been replaced by a multi-step Gaussian filtering approach which provides nearly similar accuracy with better performance. The proposed method has been implemented using extended Kalman filter and Unscented Kalman filter. The simulation results show that the multi-step Gaussian filtering is comparable to particle filter in all cases with better performance. For further evaluation, the effects of uncertainty in the propagation parameters have been studied to show the robustness of each filter to these uncertainties.

关键词： Shadow mapping Atmospheric measurements Particle measurements Scattering Measurement uncertainty Particle filters Equations

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

Global output feedback stabilization for a class of nonlinea...

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3rd IFAC Conference on Intelligent control and Automation Science, ICONS 2013

作者： Wang, Xiangyu Qian, Chunjiang Li, Shihua 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 University of Texas at San Antonio San Antonio TX 78249 United States

ISBN: (纸本)9783902823458

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. Copyright © 2013 IFAC.

关键词： Growth rate

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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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2013 IEEE International Conference on robotics and Automation, ICRA 2013

作者： Soares, Jorge M. Aguiar, A. Pedro Pascoal, Antonio M. Martinoli, Alcherio Laboratory of Robotics and Systems in Engineering and Science Instituto Superior Técnico Technical University of Lisbon Av. Rovisco Pais 1049-001 Lisbon Portugal Department of Electrical and Computer Engineering Faculty of Engineering University of Porto Rua Dr. Roberto Frias 4200-465 Porto Portugal CH-1015 Lausanne Switzerland

ISBN: (纸本)9781467356411

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. © 2013 IEEE.

关键词： Autonomous underwater vehicles

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Pedestrian detection based on LIDAR-driven sliding window and relational parts-based detection

Pedestrian detection based on LIDAR-driven sliding window an...

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IEEE Symposium on Intelligent Vehicle

作者： Luciano Oliveira Urbano Nunes Intelligent Vision Research Laboratory Federal University Bahia Brazil Institute of Systems and Robotics Department of Electrical and Computer Engineering University of Coimbra Portugal

The most standard image object detectors are usually comprised of one or multiple feature extractors or classifiers within a sliding window framework. Nevertheless, this type of approach has demonstrated a very limited performance under datasets of cluttered scenes and real life situations. To tackle these issues, LIDAR space is exploited here in order to detect 2D objects in 3D space, avoiding all the inherent problems of regular sliding window techniques. Additionally, we propose a relational parts-based pedestrian detection in a probabilistic non-iid framework. With the proposed framework, we have achieved state-of-the-art performance in a pedestrian dataset gathered in a challenging urban scenario. The proposed system demonstrated superior performance in comparison with pure sliding-window-based image detectors.

关键词： Detectors Laser radar Feature extraction Support vector machines Training Probabilistic logic Vectors

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A new algorithm for linearization up to multi-output and multi-input injection for a class of systems with implicitly defined outputs

A new algorithm for linearization up to multi-output and mul...

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European control Conference (ECC)

作者： Sérgio S. Rodrigues A. Pedro Aguiar Öaw Institute for Computational and Applied Mathematics (RICAM) Linz Austria Department of Electrical and Computer Engineering Laboratory of Robotics and Systems in Engineering and Science (LARSyS) Lisbon Portugal

ISBN: (纸本)9781479901890

Given a class of nonlinear systems with implicitly defined outputs, we provide a new algorithm to find appropriate local coordinates, in which the resulting system takes a desired target form that is state-affine, up to output and input injection. Once in the target form, it is possible to construct a state-space observer with linear, possibly time-varying, error dynamics.

关键词： Vectors Equations Observers Gold Geometry Nonlinear dynamical systems

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Transient Response Functions for Graph Structure Addressable Memory

Transient Response Functions for Graph Structure Addressable...

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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

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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