We investigate the flocking problem of multiple nonlinear dynamical mobile agents with a virtual leader in a dynamic proximity network. We assume that only a fraction of agents in the network are informed and propose ...
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ISBN:
(纸本)9787894631046
We investigate the flocking problem of multiple nonlinear dynamical mobile agents with a virtual leader in a dynamic proximity network. We assume that only a fraction of agents in the network are informed and propose a connectivity-preserving flocking algorithm. Under the assumption that the initial network is connected, we introduce local adaptation strategies for both the weights on the velocity navigational feedback and the coupling strengths that enable all agents to track the virtual leader, without requiring the knowledge of the agent dynamics. The resulting flocking algorithm works even for the case where only one agent is informed.
The tolerance and non-stability in financial indexes make changes to other sub-systems like human resources, economics, factory productions and etc. Having underling knowledge and a model to simulate such systems obta...
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ISBN:
(纸本)9781424455690
The tolerance and non-stability in financial indexes make changes to other sub-systems like human resources, economics, factory productions and etc. Having underling knowledge and a model to simulate such systems obtains a fine vision to estimate further and calculate hard-decision making tasks before execution like: dept from banks, cash injecting and insurance services. Using Neuro-fuzzy networks are one of the most powerful tools for this estimation. The particular locally linear model type of these networks called LoLiMot are in interest because of their linear training and construction optimization. These network can be much efficient when be a recurrent network why can better capture the dynamism's order of dynamic processes. The Locally linear Neuro-Fuzzy model (LoLiMot) here is as basis for making recurrent. In this paper this network with a global state feedback is implemented and the accuracy and the results of this recurrent network on Dow Jones index as a financial time series are compared with the static LoLiMot. The obtained results were better.
This paper describes development of a biotelemetric system and problem of real time processing of ECG signal. In this case of signal processing ECG CorBelt primarily on mobile embedded monitoring stations. The Whole s...
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This paper describes development of a biotelemetric system and problem of real time processing of ECG signal. In this case of signal processing ECG CorBelt primarily on mobile embedded monitoring stations. The Whole system is based on Microsoft product as Windows Mobile, Microsoft SQL Server, .NET Micro Framework, .NET Compact Framework and .NET Framework. On paper is deal with ECG measurement devices and there are evaluated pasted real tests. Problem in processing of ECG signal is quantity of transfered data. Commercial mobile devices can't processing this data on Real Time. Our paper are described possibilities of parsing of this ECG signal. Visualization of data is solved by small userfriendly application created in WPF (Windows Presentation Foundation) and Silverlight application. This application was created in development environment Microsoft Expression Blend and was subjected to stress tests. This application and tests results are presented too.
This paper describes one part of our Biotelemetric System. This part is hardware platform from preprocessing of ECG signal. In order to real time visualization of ECG data, we need measure and process real data from E...
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This paper describes one part of our Biotelemetric System. This part is hardware platform from preprocessing of ECG signal. In order to real time visualization of ECG data, we need measure and process real data from ECG device. This paper discusses main possibilities to solve this problem. First possibility is using of commercial devices, such as embedded PCs, PDAs and wireless ECG unit BlueECG communicating via bluetooth. Suggests major problems and disadvantages of their use and offers possible solutions. This possibility is construction of our own purpose-built equipment. Advantages of our own equipment are its low power consumption and collaboration with mobile devices with limited computing capabilities. In the end we describe the real-time response time of packet parsing problem.
We are extremely pleased to present this special issue of the Journal of control Theory and *** dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adap...
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We are extremely pleased to present this special issue of the Journal of control Theory and *** dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain environments over *** optimizes the sensing objectives accrued over a future time interval with respect to an adaptive control law,conditioned on prior knowledge of the system,its state,and uncertainties.A numerical search over the present value of the control minimizes a Hamilton-Jacobi-Bellman (HJB) equation providing a basis for real-time,approximate optimal control.
The subject of this paper is modeling of the influence of non-minimum phase plant dynamics on the performance possible from gradient based norm optimal iterative learning control algorithms. It is established that per...
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The subject of this paper is modeling of the influence of non-minimum phase plant dynamics on the performance possible from gradient based norm optimal iterative learning control algorithms. It is established that performance in the presence of right-half plane plant zeros typically has two phases. These consist of an initial fast monotonic reduction of the L 2 error norm followed by a very slow asymptotic convergence. Although the norm of the tracking error does eventually converge to zero, the practical implications over finite trials is apparent convergence to a non-zero error. The source of this slow convergence is identified and a model of this behavior as a (set of) linear constraint(s) is developed. This is shown to provide a good prediction of the magnitude of error norm where slow convergence begins. Formulae for this norm are obtained for single-input single-output systems with several right half plane zeroes using Lagrangian techniques and experimental results are given that confirm the practical validity of the analysis.
The paper deal with a problem of a data collecting and visualization of several biomedical signals from patients by mobile embedded monitoring stations. Measurement devices were used in real tests. Due to a problem of...
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The paper deal with a problem of a data collecting and visualization of several biomedical signals from patients by mobile embedded monitoring stations. Measurement devices were used in real tests. Due to a problem of real time processing a 12 channels ECG from ECG device by Bluetooth to mobile stations, packet parsing as the one problem part of data processing chain, is presented and solved by two possible solutions. Mobile embedded monitoring stations are based on Microsoft Windows Mobile operating system. The whole system is based on the architecture of .NET Framework, .NET Compact Framework, .NET Micro Framework and Microsoft SQL Server.
Most traditional alarm systems cannot address security threats in a satisfactory manner. To alleviate this problem, we developed a high-confidence cyber-physical alarm system (CPAS), a new kind of alarm systems. This ...
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The paper proposes a synchronization mechanism in a set of nonlinear oscillators interconnected through a communication network. In contrast to many existing results, we do not employ strong, diffusive couplings betwe...
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The paper proposes a synchronization mechanism in a set of nonlinear oscillators interconnected through a communication network. In contrast to many existing results, we do not employ strong, diffusive couplings between the individual oscillators. Instead, each individual oscillator is weakly forced by a linear resonator system. The resonator systems are synchronized using results from consensus theory. The synchronized resonator systems force the frequencies of the nonlinear oscillators to a constant frequency and thereby yield synchronization of the oscillators. We prove this result using the theory of small forcings of stable oscillators. This synchronization scheme allows for synchronization of nonlinear oscillators over uniformly connected communication graphs.
An important issue in the analysis of two-dimensional electrophoresis images is the detection and quantification of protein spots. The main challenges in the segmentation of 2DGE images are to separate overlapping pro...
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An important issue in the analysis of two-dimensional electrophoresis images is the detection and quantification of protein spots. The main challenges in the segmentation of 2DGE images are to separate overlapping protein spots correctly and to find the abundance of weak protein spots. To enable comparison of protein patterns between different samples, it is necessary to match the patterns so that homologous spots are identified. In this paper we describe a new robust technique to segment and model the different spots present in the gels. The watershed segmentation algorithm is modified to handle the problem of over segmentation by initially partitioning the image to mosaic regions using the composition of fuzzy relations. The experimental results showed the effectiveness of the proposed algorithm to overcome the over segmentation problem associated with the available algorithms.
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