As a new service-oriented network manufacturing model, cloud manufacturing (CMfg) can accelerate the transformation from production-oriented to service-oriented manufacturing. Study of resource service transaction (RS...
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ISBN:
(纸本)9781424485017
As a new service-oriented network manufacturing model, cloud manufacturing (CMfg) can accelerate the transformation from production-oriented to service-oriented manufacturing. Study of resource service transaction (RST) is one of the key issues that deciding the practical application of CMfg. In this study, the comprehensive utility models considered the revenue, time, and reliability for the three sides, i.e., resource service provider (RSP), resource service demander (RSD), and resource service agent (Agent) in the RST process in CMfg under the decentralized decision-making condition are first established, respectively. Then the comprehensive utility model for the RST chain (RSTC) of “multiple RSP-one Agent-multiple RSD” under the centralized decision-making condition is proposed and discussed. The existence of utility equilibriums between RSP and Agent, Agent and RSD are proved in the optimal decision of the RSTC under the decentralized decision-making condition.
This paper deals with the topic of qLPV state-space model based control design in which LMIs are used to optimize the multi-objective control performance. In this paper we investigate how the convex hull of the polyto...
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This paper deals with the topic of qLPV state-space model based control design in which LMIs are used to optimize the multi-objective control performance. In this paper we investigate how the convex hull of the polytopic model influences the control performance of the LMI based control design. We examine these influences through the controller and observer design of the two dimensional aeroelastic wing's example. First we define various TP type polytopic model representations of a wing section whose vertices define different convex hulls. In the second step we investigate how these models change the control performance.
This work presents an adaptive synchronization between two different order fractional chaotic systems with unknown parameters. Based on the nonlinear feedback, the proposed adaptive scheme not only can estimate the un...
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This work presents an adaptive synchronization between two different order fractional chaotic systems with unknown parameters. Based on the nonlinear feedback, the proposed adaptive scheme not only can estimate the unknown parameters successfully in certain condition, but also realize the synchronization of chaotic fractional-order system. Taken the fractional liu system and Duffing system as an example, numerical simulation results verify the effectiveness of the proposed scheme.
Segmentation of neural stem cells is the preliminary step to treat and cure several brain neural diseases. There exist a number of methods to accomplish this task. However, all of these methods suffer from some proble...
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Segmentation of neural stem cells is the preliminary step to treat and cure several brain neural diseases. There exist a number of methods to accomplish this task. However, all of these methods suffer from some problems, such as high intensity variation sensitivity, human interaction and high computational complexity. In this paper we proposed a novel edge-detection-based neural stem cell image segmentation algorithm using the local complex phase characteristics. The proposed method is an illumination and contrast invariant measurement of edge significance. Our contributions are that, local weighting summation Gaussian kernel convolution and a new model for phase deviation weighting function are introduced into the proposed model to improve the local phase measurement. In experiments, we show that the proposed method is more accurate and reliable than three existing gradient-based edge detection algorithms and Kovesi's model for neural stem cell image segmentation.
This paper deals with the iterative learning control (ILC) problem for uncertain time-delay systems (TDS). In order to ensure monotonic convergence of the ILC process, a sufficient condition is developed using an H ∞...
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ISBN:
(纸本)9781424477456
This paper deals with the iterative learning control (ILC) problem for uncertain time-delay systems (TDS). In order to ensure monotonic convergence of the ILC process, a sufficient condition is developed using an H ∞ -based framework. It shows that under this framework, the convergence condition is enabled to be delay-dependent and have a formulation in terms of linear matrix inequalities (LMIs). Moreover, formulas for the updating law design can be derived by directly solving LMIs. A numerical example is provided to verify that the delay-dependent condition in LMI forms is effective in producing monotonically convergent ILC algorithms.
The common definition of modal participation factors was intended to provide a measure of participation of modes in states and of states in modes for linear time-invariant (LTI) systems. In this paper, recent work by ...
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ISBN:
(纸本)9781424474264
The common definition of modal participation factors was intended to provide a measure of participation of modes in states and of states in modes for linear time-invariant (LTI) systems. In this paper, recent work by the authors that revisited this common definition is extended to yield definitions and calculations for quantifying the relative contribution of system modes in system outputs. When the system outputs are simply the system states, the mode-in-output participation factors are found to reduce to the original mode-in-state participation factors. A numerical example is given to illustrate the issues addressed and the results obtained.
The main contribution of this paper is a new sliding mode design for nonlinear systems. This method is based on Tensor Product Model Transformation. It is partially extension and combination of the classical optimal m...
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The main contribution of this paper is a new sliding mode design for nonlinear systems. This method is based on Tensor Product Model Transformation. It is partially extension and combination of the classical optimal manifold design for linear (or linearized) system and sector sliding mode control. This new approach enables a systematic design and decomposition of optimal sliding sector by the High Order Singular Value Decomposition (HOSVD)-based canonical description of a wide class of nonlinear systems. Two design examples and experimental results of a DSP-controlled single-degree-of-freedom motion-control system are presented.
To study top-down face processing, the present study used an experimental paradigm in which participants detected non-existent faces in pure noise images. Conventional BOLD signal analysis identified three regions inv...
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Automatic modulation recognition is extremely important for the receiver design in the broadband multimedia communication system. Based on the intrinsic time-scale decomposition algorithm for feature extraction on whi...
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ISBN:
(纸本)9781424444625
Automatic modulation recognition is extremely important for the receiver design in the broadband multimedia communication system. Based on the intrinsic time-scale decomposition algorithm for feature extraction on which the instantaneous amplitude, phase and frequency is precisely defined, this paper proposed a feature selection algorithm to find the features with high distinguishing capacity and a digital modulation recognition algorithm. Simulation results show that this algorithm is of low complexity and the average recognition accuracy is higher than 94% using only three feature parameters when SNR is above 5dB.
A simple dynamic model of a nuclear reactor with temperature dependent reactivity and six groups of neutron emitting nuclei is developed in this paper based on first engineering principles. The proposed model contains...
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