433 research outputs found

    Method and system for deinterleaving signals

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    There are provided method and system for deinterleaving signals. The method comprises: (a) recording plural signal reception events, wherein each signal reception event is associated with a received signal at a receiver, and represented by a space-time coordinate having a space component based on a location of the receiver and a time component based on an arrival time of the received signal; (b) selecting a subset of signal reception events from the recorded signal reception events, wherein the number of signal reception events in the subset is based on the dimension of the space component; and (c) determining whether the signal reception events in the selected subset satisfy a predetermined condition, and if the determination is in the affirmative, associating the signal reception events in the selected subset with an emission of an emitter.Invented by Drake, Samuel Picton; Anderson, Brian David; Yu, Changbin. Assigned to National ICT Australia Limited, The Commonwealth of Australia, of the Secretary, Department of Defense

    On distributed cluster consensus for multiple double-integrator agents

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    This paper investigates the consensus for multiple interacting clusters of double-integrator agents under two different frameworks, viz, the framework that all agents share the same position and velocity interaction topology and the framework that the posThe work of C. Yu was supported by the Australian Research Council through DP-130103610 and a Queen Elizabeth II Fellowship under DP-110100538, and the Overseas Expert Program of Shandong Provinc

    A generic bias-correction method with application to scan-based localization

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    In previous work a method was proposed to determine the bias in localization algorithms using range or bearing data. In this paper the method is extended to be more generic; in particular, different types of measurement data are permitted, and there may be more measurements than there are variables to estimate. The method combines the Taylor series and Jacobian matrices to determine the bias, and leads to an easily calculated analytical bias expression, despite the general unavailability of analytic expressions for the solution of most localization problems. The method is used to estimate the bias in scan-based localization. Monte Carlo simulation results verify the performance of the proposed method in this context.Yiming Ji, Changbin Yu, Brian D.O. Anderson and Samuel P. Drak

    Advances in Plant Meiosis: From Model Species to Crops

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    This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac

    Distributed Event-triggered Containment Control of Multiple Rigid Bodies with Combinational Measurements

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    This paper studies the distributed containment control problem of multiple rigid bodies with event-triggered controllers. An event-triggered cooperative strategy is proposed based on combinational measurements. In this framework, each agent is triggered only at its own triggering instants, which reduces the frequency of controller updates in practice. It is shown that the triggering time sequence of each agent is Zero-free. Finally, a modified event-triggered condition is designed to avoid continuous combinational measurements between neighboring agents. It is also shown that no agents will exhibit Zeno triggering in this case.National Nature Science Foundation [61225013, 11332001]CPCI-S(ISTP

    Development of a general purpose motion control systems for robots and vehicles

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    Robots are now playing significant roles in our daily life. The motion control is one of the key technologies in the robotic industry. However, the motion control systems used today are still not stable enough for moving robots and self-driving vehicles. In this report, the author aimed to developed a general-purposed motion control system for robots and vehicles based on polynomial trajectory generation and PID control algorithm. The author has found that the actual value would gradually reach the desired value using the motion control system, but the result is not as perfect as ideal value. This report will explore the theory of PID motion algorithm, usage of hardware, and how to develop the motion control system.Bachelor of Engineering (Mechanical Engineering

    Syngas methanation in fluidized bed for an advanced two-stage process of SNG production

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    Process simulation was conducted to identify the technical feasibility and optimal reactor combination for a simple two-stage methanation process producing substitute natural gas (SNG). With two adiabatic fixed bed reactors in series the reaction temperature control requires high product gas recycle ratio which is much energy-consuming. An isothermal fluidized bed at 723-823 K combining a tail-end fixed bed was shown to be a high efficient one-pass methanation process. Over a Ni-Mg/Al2O3 catalyst methanation by laboratory tests in a fluidized bed exhibited obvious technical superiority over that in a fixed bed in terms of activity and carbon deposition on the spent catalyst. By noting further that the low-velocity bubbling fluidized bed leads to extremely high cross-sectional areas for large-scale industrial applications, the optimal reactor combination was proposed to be a fast fluidized bed and a clean-up fixed bed, which not only simplifies the methanation process but also reduces the reactor size and catalyst amount required. (C) 2015 Elsevier B.V. All rights reserved

    Advances in Plant Meiosis: From Model Species to Crops

    No full text
    This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac

    Reach almost sure consensus with only group information

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    This brief presents a new distributed scheme to solve the consensus problem for a group of agents if neither their absolute states nor inter-agent relative states are available. The new scheme considers a random partition of agents into two subgroups at each step and then uses the relative group representative state as feedback information for the consensus purpose. It is then shown that almost sure consensus can be achieved under the proposed scheme in both discrete time and continuous time. For the discrete time case, almost sure consensus is achieved if and only if the weighting parameter for state update is greater than one. For the continuous time case, almost sure consensus is realized when the weighting parameter is positive. Moreover, it is shown that if a uniform probability is considered for group selection, then the group of agents can reach average consensus in mean.The work of Lin was supported by Zhejiang Provincial Natural Science Foundation of ChinaLR13F030002. The work of Yu was supported in part by the Australian Research Council through Discovery Project DP-130103610, a Queen Elizabeth II Fellowship under Grant DP-110100538, the National Natural Science Foundation of China (61375072), and the Open Research Project (No. ICT1427) of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China
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