- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - A Doppler Centroid Estimator for Synthetic Aperture Radar Based on Phase Center Point Tracking
摘要： Heterogeneity is an important feature of multiagent systems. This paper addresses the consensus problem of heterogeneous multiagent systems composed of first-integrator and double-integrator agents. The dynamics of each agent switches between continuous-time and discrete-time dynamics. By using the graph theory and nonnegative matrix theory, we derive that the system can achieve consensus if and only if the fixed interaction topology has a directed spanning tree. For switching topologies, we get that the system can reach consensus if each interaction topology has a directed spanning tree. Simulation examples are provided to demonstrate the effectiveness of our theoretical results.
关键词： switching dynamics,nonnegative matrix theory,consensus,heterogeneous multiagent systems,graph theory
更新于2025-09-23 15:22:29
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A Heuristic Method for Power Pylon Reconstruction from Airborne LiDAR Data
摘要： Object reconstruction from airborne LiDAR data is a hot topic in photogrammetry and remote sensing. Power fundamental infrastructure monitoring plays a vital role in power transmission safety. This paper proposes a heuristic reconstruction method for power pylons widely used in high voltage transmission systems from airborne LiDAR point cloud, which combines both data-driven and model-driven strategies. Structurally, a power pylon can be decomposed into two parts: the pylon body and head. The reconstruction procedure assembles two parts sequentially: firstly, the pylon body is reconstructed by a data-driven strategy, where a RANSAC-based algorithm is adopted to fit four principal legs; secondly, a model-driven strategy is used to reconstruct the pylon head with the aid of a predefined 3D head model library, where the pylon head’s type is recognized by a shape context algorithm, and their parameters are estimated by a Metropolis–Hastings sampler coupled with a Simulated annealing algorithm. The proposed method has two advantages: (1) optimal strategies are adopted to reconstruct different pylon parts, which are robust to noise and partially missing data; and (2) both the number of parameters and their search space are greatly reduced when estimating the head model’s parameters, as the body reconstruction results information about the original point cloud, and relationships between parameters are used in the pylon head reconstruction process. Experimental results show that the proposed method can efficiently reconstruct power pylons, and the average residual between the reconstructed models and the raw data was smaller than 0.3 m.
关键词： 3D pylon reconstruction,airborne LiDAR,Metropolis–Hastings sampler,RANdom Sample Consensus (RANSAC),simulated annealing
更新于2025-09-23 15:21:21
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Consensus Based Distributed Control for Photovoltaic-Battery Units in a DC Microgrid
摘要： In this paper, a distributed cooperative control scheme, considering the State of Charge (SoC) balance and power limits of Battery Storage Units (BSUs) in the consensus protocol, is proposed to achieve average bus voltage consensus in a DC microgrid with photovoltaics (PVs). The state variable defined in the consensus protocol enables all BSUs to charge or discharge together without introducing circulating currents among BSUs. Furthermore, by incorporating power limits of BSUs in the defined state variable, power violation of the BSUs can be prevented. The consensus-based distributed control only utilizes neighbor-to-neighbor communication to realize the global consensus and thus avoids the single point of failure compared to the conventional centralized control. Simulation and experimental results demonstrate the efficacy of the proposed method in an islanded DC microgrid under different testing scenarios.
关键词： microgrid,PV,energy storage,distributed control,Consensus
更新于2025-09-23 15:21:01
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[IEEE 2018 IEEE Electronic Power Grid (eGrid) - Charleston, SC, USA (2018.11.12-2018.11.14)] 2018 IEEE Electronic Power Grid (eGrid) - Consensus Damping of Inter-Area Oscillations using Utility-Scale Solar-Battery Generation
摘要： The re are increasingly ro u tin e s it ua ti ons wh e r e inve rte r-based generation from wind and solar power re sou r c e s provide s more than 50% of ge neration capacity during light load conditions in various re gions of North Ame r ic a . Th i s l e a ds t o incre asing concerns for meeting NERC powe r system reliabi lit y and fre que ncy stability re quire me nts. This pape r pre se nts a me thod for de signing a de centralized consensus pr o t o c ol s uc h that utility-scale solar-PV ge ne ration is able to de te ct and compe nsate for powe r flow oscillations. The me thod incorporates local synchrophasor measurements in conju nc t ion wi th wi de- are a SCADA me ssage s to inje ct controlle d powe r flows to incre ase system damping. Simulation re su lts f o r a t h r e e - a r e a inte rconne cte d powe r syste m corre sponding to a major disturbance e vent that occurred June 17, 2016 in the US Easte r n Inte rconnection indicates the be nefits of the proposed method for improving fre que ncy re cove ry and minimiz ing powe r flow oscillations.
关键词： Consensus Protocol,Solar PV,Batte ry Ene rgy Storage,Inter- Ar e a O sc il lat io ns
更新于2025-09-19 17:15:36
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[IEEE 2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) - Munich, Germany (2019.6.23-2019.6.27)] 2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) - Tests of Fundamental Physics using Ramsey-Comb Spectroscopy on the Hydrogen Molecule
摘要： This paper presents a completely automatic processing chain for orthorectification of optical pushbroom sensors. The procedure is robust and works without manual intervention from raw satellite image to orthoimage. It is modularly divided in four main steps: metadata extraction, automatic ground control point (GCP) extraction, geometric modeling, and orthorectification. The GCP extraction step uses georeferenced vector roads as a reference and produces a file with a list of points and their accuracy estimation. The physical geometric model is based on collinearity equations and works with sensor-corrected (level 1) optical satellite images. It models the sensor position and attitude with second-order piecewise polynomials depending on the acquisition time. The exterior orientation parameters are estimated in a least squares adjustment, employing random sample consensus and robust estimation algorithms for the removal of erroneous points and fine-tuning of the results. The images are finally orthorectified using a digital elevation model and positioned in a national coordinate system. The usability of the method is presented by testing three RapidEye images of regions with different terrain configurations. Several tests were carried out to verify the efficiency of the procedure and to make it more robust. Using the geometric model, subpixel accuracy on independent check points was achieved, and positional accuracy of orthoimages was around one pixel. The proposed procedure is general and can be easily adapted to various sensors.
关键词： RapidEye,robust estimation,general physical geometric model,optical imagery,Automatic orthorectification,ground control point (GCP) extraction,random sample consensus (RANSAC)
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Solar Forecasting for Low Voltage Network Operations: Selected Case Studies in Australia
摘要： We introduce a distributed cooperative framework and method for Bayesian estimation and control in decentralized agent networks. Our framework combines joint estimation of time-varying global and local states with information-seeking control optimizing the behavior of the agents. It is suited to nonlinear and non-Gaussian problems and, in particular, to location-aware networks. For cooperative estimation, a combination of belief propagation message passing and consensus is used. For cooperative control, the negative posterior joint entropy of all states is maximized via a gradient ascent. The estimation layer provides the control layer with probabilistic information in the form of sample representations of probability distributions. Simulation results demonstrate intelligent behavior of the agents and excellent estimation performance for a simultaneous self-localization and target tracking problem. In a cooperative localization scenario with only one anchor, mobile agents can localize themselves after a short time with an accuracy that is higher than the accuracy of the performed distance measurements.
关键词： consensus,Agent networks,distributed estimation,belief propagation,information-seeking control,sensor networks,distributed target tracking,sequential estimation,cooperative localization,distributed control,message passing
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) - Macao, Macao (2019.12.1-2019.12.4)] 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) - Adaption of the Current Load Model to Consider Residential Customers Having Turned to LED Lighting
摘要： This paper presents a completely automatic processing chain for orthorectification of optical pushbroom sensors. The procedure is robust and works without manual intervention from raw satellite image to orthoimage. It is modularly divided in four main steps: metadata extraction, automatic ground control point (GCP) extraction, geometric modeling, and orthorectification. The GCP extraction step uses georeferenced vector roads as a reference and produces a file with a list of points and their accuracy estimation. The physical geometric model is based on collinearity equations and works with sensor-corrected (level 1) optical satellite images. It models the sensor position and attitude with second-order piecewise polynomials depending on the acquisition time. The exterior orientation parameters are estimated in a least squares adjustment, employing random sample consensus and robust estimation algorithms for the removal of erroneous points and fine-tuning of the results. The images are finally orthorectified using a digital elevation model and positioned in a national coordinate system. The usability of the method is presented by testing three RapidEye images of regions with different terrain configurations. Several tests were carried out to verify the efficiency of the procedure and to make it more robust. Using the geometric model, subpixel accuracy on independent check points was achieved, and positional accuracy of orthoimages was around one pixel. The proposed procedure is general and can be easily adapted to various sensors.
关键词： robust estimation,general physical geometric model,random sample consensus (RANSAC),RapidEye,Automatic orthorectification,optical imagery,ground control point (GCP) extraction
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE Conference on Energy Conversion (CENCON) - Yogyakarta, Indonesia (2019.10.16-2019.10.17)] 2019 IEEE Conference on Energy Conversion (CENCON) - Effects of MOSFET Gate Driving on Conducted Emissions in a Flyback LED Driver
摘要： This paper considers a unified geometric projection approach for: 1) decomposing a general system of cooperative agents coupled via Laplacian matrices or stochastic matrices and 2) deriving a centroid-subsystem and many shape-subsystems, where each shape-subsystem has the distinct properties (e.g., preservation of formation and stability of the original system, sufficiently simple structures and explicit formation evolution of agents, and decoupling from the centroid-subsystem) which will facilitate subsequent analyses. Particularly, this paper provides an additional merit of the approach: considering adjustments of coupling topologies of agents which frequently occur in system design (e.g., to add or remove an edge, to move an edge to a new place, and to change the weight of an edge), the corresponding new shape-subsystems can be derived by a few simple computations merely from the old shape-subsystems and without referring to the original system, which will provide further convenience for analysis and flexibility of choice. Finally, such fast recalculations of new subsystems under topology adjustments are provided with examples.
关键词： cooperative control,decomposition,formation,Consensus,flocking,partition,topology adjustment,geometric projection
更新于2025-09-19 17:13:59
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New Internal Model Average Consensus Estimators with Light Communication Load
摘要： The dynamic average consensus problem for a group of agents is considered. Each agent in the group is supposed to estimate the average of inputs applied to all agents and the estimation should be done in a distributed way. By reinterpreting the proportional integral type estimator, a new structure for the average estimator which can embed the internal model of inputs is proposed and conditions which result in the zero estimation error in the steady state are derived. We present constructive design procedures for the cases of constant inputs and time-varying inputs employing the root locus for the former and LQR-based design for the latter. The theory is validated through numerical simulations.
关键词： Consensus,network system,state estimation,distributed system,multi-agent
更新于2025-09-10 09:29:36
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An efficient image matching algorithm based on adaptive threshold and RANSAC
摘要： The education plays a more and more important role in disseminating knowledge because of the explosive growth of knowledge. As one kind of carrier delivering knowledge, image also presents an explosive growth trend and plays an increasingly important role in education, medical, advertising, entertainment, and so on. Aiming at the long time of massive image feature extraction in the construction of smart campus, the traditional Harris corner has problems, such as low detection efficiency and many non-maximal pseudocorner points. This paper proposes a Harris image matching method that combines adaptive threshold and random sample consensus (RANSAC). First, the Harris feature points are selected based on the adaptive threshold and the Forstner algorithm in this method. On the one hand, candidate points are filtered based on the adaptive threshold. On the other hand, the Forstner algorithm is used to further select the corner points. Second, the normalized cross correlation matching and the RANSAC are applied to precisely match the detected Harris corners. The experimental results show that compared with the existing algorithms, the proposed method not only obtains a matching accuracy higher than 20% of Cui’s algorithm but also saves more than 30% detection time of corner detection and image matching. Furthermore, the proposed method obtains a matching accuracy higher than 50% of the Cui’s algorithm and saves more than 50% detection time of corner detection and image matching.
关键词： image matching,Adaptive threshold,random sample consensus,digital campus,Harris corner detection
更新于2025-09-09 09:28:46