Knowledge manufacturing system has the ability of modifying dynamically manufacturing mode rapidly when production environment factors change. It is essential to evaluate the matching degree of established manufacturi...
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The robust control issues of direct-drive permanent magnet synchronous generator (DD-PMSG) are discussed, in which the variation of stator resistances and inductance are considered. The speed loop of DD-PMSG is a line...
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This paper investigates the asymptotical stability for discrete-time Cohen-Grossberg neural networks with both timevarying and distributed delays. By constructing a novel Lyapunov-Krasovskii functional and introducing...
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In this paper, genetic algorithm and modified dynamic programming are applied to path planning of robotic fish for the first time. Using grid method to the environment modeling and applying genetic algorithm to the pa...
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This paper deals with global synchronization in arrays of coupled delayed Lur’e systems with nonlinear couplings, in which the interval variable delay is treated. Together with Krasovskii-Lyapunov functional method a...
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This paper deals with global synchronization in arrays of coupled delayed Lur’e systems with nonlinear couplings, in which the interval variable delay is treated. Together with Krasovskii-Lyapunov functional method and Kronecker product technique, two novel synchronization criteria are presented in terms of linear matrix inequalities (LMIs) based on generalized convex combination, in which the conditions are heavily dependent on upper and lower bounds of time-delay and delay derivative. Through employing LMI in Matlab Toolbox and adjusting some matrix parameters in the derived results, we can realize the designing and applications of the coupled systems. The effectiveness of the proposed methods can be demonstrated by one numerical example with simulations.
An adaptive sliding mode control scheme for electromechanical actuator has been presented. The adaptive control strategy can estimate the uncertain parameters and adaptively compensate the modeled dynamical uncertaint...
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In order to obtain a forecast model for product design time from a small data set, Gaussian Margin Regression (GMR) is presented on the basis of combining Gaussian Margin Machines and kernel based regression. Gaussian...
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The idea of M2M platform proposes a completely new system architecture for positioning and monitoring applications with wider coverage and higher communication efficiency. With the comparison of the original communica...
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The idea of M2M platform proposes a completely new system architecture for positioning and monitoring applications with wider coverage and higher communication efficiency. With the comparison of the original communication mode to the M2M- based one, the communication interface is changed in the new communication solution for the application side accessing to the platform, which is finally designed into two parts according to the interface specification for M2M platform. The one is the local web service which provides methods for the platform to transmit data from the terminal side, and the other is the communication service software developed based on the SDK package from the M2M platform. This interface has been implemented into an actual application for the construction machinery monitoring, and the communication work between the terminals and the control center through M2M platform performs efficiently and reliably.
In this paper, the importance of cost aggregation for belief propagation (BP) and the interaction of them are discussed. A global stereo matching algorithm based on BP with local edge detection-based cost aggregation ...
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In this paper, the importance of cost aggregation for belief propagation (BP) and the interaction of them are discussed. A global stereo matching algorithm based on BP with local edge detection-based cost aggregation is proposed. Firstly, a virtual closed edge is formed surrounding each pixel via second derivative operator in order to construct the adaptive window. Then, for centered pixel, local cost aggregation is calculated on support pixels in adaptive window. Finally, BP optimization algorithm is used to obtain the disparity. The experiments based on Middlebury benchmark indicate that local edge detection-based cost aggregation can do well with BP and also show encouraging results of proposed stereo matching algorithm.
To design an energy efficient data collection scheme instead of multi-hop data relay is essential for Wireless Sensor Networks. To many proposed data gathering approaches, the long data delay is the main problem. In t...
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To design an energy efficient data collection scheme instead of multi-hop data relay is essential for Wireless Sensor Networks. To many proposed data gathering approaches, the long data delay is the main problem. In this paper, mobile collectors are introduced in a sensor network and a data collection mechanism is proposed. To organize sensors into three-level clusters, an energy efficient clustering algorithm is proposed. The collection strategy is based on the hierarchical structure and consists of two rules to schedule mobile collectors reasonably. Simulation results demonstrate that the data collection scheme effectively reduces the energy consumption and decrease the data delay.
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