This paper addresses the problem of synchronization errors in distributed dynamical systems. In particular, it focuses on the question of stability for the case where all subsystems have the same sampling frequency, b...
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ISBN:
(纸本)9781424445233
This paper addresses the problem of synchronization errors in distributed dynamical systems. In particular, it focuses on the question of stability for the case where all subsystems have the same sampling frequency, but different switching times. In contrast to previous work, the approach taken here models the set of system matrices that arise using a polytopic uncertainty approach, where a polytope vertex corresponds to a possible state matrix of the overall system. System stabilization is then approached through state feedback and LMI techniques are used to generate the control law matrices. A method to handle the combinatorial explosion of the number of polytope vertices is developed and illustrated using an example from swarm system navigation.
When rescue robots navigate in a rough terrain, significant vibration of the video occurs unavoidably and a video stabilization system is proposed in this paper to reduce the disturbance on the visual system of the pr...
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When rescue robots navigate in a rough terrain, significant vibration of the video occurs unavoidably and a video stabilization system is proposed in this paper to reduce the disturbance on the visual system of the present rescue robots. The Kalman filter is applied to estimate the motion vector of the robot and the false estimation occurrence can be thus greatly reduced by applying analysis of correlation and variance of the motion vector estimation. With a hierarchical searching algorithm implemented on the TI DSP 6437, the frame rate can be improved from 10 fps to 28 fps to realize the real-time video stabilization and furthermore, the cooperative mission of multiple rescue robots has been achieved by applying the developed visual servo technique. The proposed virtual bounded motion control algorithm further leads the robots approaching the target precisely with cooperation of multiple rescue robots. The demo video is available at: http://***/DemoVideo/.
This paper deals with resource allocation in multi-project manufacturing system design, where more than one shared renewable resource type may be required by the manufacturing operation and the availability of each ty...
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This paper deals with resource allocation in multi-project manufacturing system design, where more than one shared renewable resource type may be required by the manufacturing operation and the availability of each type is time limited. The aim of the paper is to present a knowledge-based and constraint programming-driven approach to resource allocation where that data can be imprecise. The presented design scheme is used as a framework for developing a task oriented decision support tool for project portfolio prototyping (DST4P 3 ). The tool provides a prompt and interactive service to a set of routine queries defined in terms of both direct and inverse resource allocation tasks.
We present a dynamic partitioning strategy that selects test cases using online feedback information. The presented strategy differs from conventional approaches. Firstly, the partitioning is carried out online rather...
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ISBN:
(纸本)9781424459124
We present a dynamic partitioning strategy that selects test cases using online feedback information. The presented strategy differs from conventional approaches. Firstly, the partitioning is carried out online rather than off-line. Secondly, the partitioning is not based on program code or specifications; instead, it is simply based on the fail or pass information of previously executed test cases and, hence, can be implemented in the absence of the source code or specification of the program under test. The cost-effectiveness of the proposed strategy has been empirically investigated with three programs, namely SPACE, SED, and GREP. The results show that the proposed strategy achieves a significant saving in terms of total number of test cases executed to detect all faults.
The paper deal with a mobile wireless connected devices and the problem of their slow wireless connection. The main area of interest is in a model of data prebuffering based system enhancement for locating and trackin...
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The paper deal with a mobile wireless connected devices and the problem of their slow wireless connection. The main area of interest is in a model of data prebuffering based system enhancement for locating and tracking users of our control system inside the buildings. The experimental framework prototype uses a WiFi network infrastructure to let a mobile device determine its indoor position. User location is used for data prebuffering and pushing information from server to user's PDA. All server data are saved as artifacts (together) with its position information in building. The accessing of prebuffered data on mobile device can highly improve response time needed to view large multimedia data. On mobile device the SQL Server CE database is used. Mobile device operate with Windows Mobile 6.0 operation system which is real time. All operations in such mobile clients are deterministic.
In this study, a fast automatic method is proposed for the segmentation and visualization of teeth in multi-slice CT-scan data of the head. The algorithm consists of five main procedures. In the first part, the mandib...
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In this study, a fully automatic technique is proposed for the extraction of panoramic dental images from CT-scan images of the teeth. The process is performed in three steps: Mandibular region isolation, mandibular c...
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Polynomials are one of the most powerful functions that have been used in many fields of mathematics such as curve fitting and regression. Low order polynomials are desired for their smoothness, good local approximati...
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Polynomials are one of the most powerful functions that have been used in many fields of mathematics such as curve fitting and regression. Low order polynomials are desired for their smoothness, good local approximation and interpolation. Being smooth, they can be used to locally approximate almost any derivable function. This means that when linear functions fail in approximation (e.g. where the first order Taylor expansion equals zero) polynomial functions can be used in local approximation, such that one can achieve better estimations at extremums. In this paper, application of polynomial kernel functions in locally linear neurofuzzy models is shown. Using polynomial kernels in local models, better local approximations in prediction of chaotic time series such as Mackey-Glass is achieved, and the capability of the neurofuzzy network is enhanced.
Sound source localization is an important function in robot audition. The existing works perform sound source localization using static microphone arrays. This work proposes a framework that simultaneously localizes t...
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Sound source localization is an important function in robot audition. The existing works perform sound source localization using static microphone arrays. This work proposes a framework that simultaneously localizes the mobile robot and multiple sound sources using a microphone array on the robot. First, an eigenstructure-based generalized cross correlation method for estimating time delays between microphones under multi-source environments is described. A method to compute the far field source directions as well as the speed of sound using the estimated time delays is proposed. In addition, the correctness of the sound speed estimate is utilized to eliminate spurious sources, which greatly enhances the robustness of sound source detection. The arrival angles of the detected sound sources are used as observations in a bearings-only SLAM procedure. As the source signals are not persistent and there is no identification of the signal content, data association is unknown which is solved using FastSLAM. The experimental results demonstrate the effectiveness of the proposed approaches.
This paper presents several design methods for consensus algorithm in discrete time formulation. To this end, we investigate a consensus condition and design a consensus algorithm based on the condition first. Second,...
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This paper presents several design methods for consensus algorithm in discrete time formulation. To this end, we investigate a consensus condition and design a consensus algorithm based on the condition first. Second, it is discussed how a robust consensus algorithm can be designed using LQR (linear quadratic regulator). Finally, a constrained consensus problem is introduced and a brief idea tackling the problem is described using MPC (model predictive control).
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