Traditionally the singularity point in extreme scenarios such as weak traveling waves may not be detected accurately as a result of their small amplitudes and naturally-existing attenuation. In this paper, a novel met...
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ISBN:
(纸本)9781467371063
Traditionally the singularity point in extreme scenarios such as weak traveling waves may not be detected accurately as a result of their small amplitudes and naturally-existing attenuation. In this paper, a novel method based on curve fitting theory for singularity detection for extreme scenarios (weak traveling waves) is proposed, which considers both the characteristic of traveling waves and the influence of distributed capacitance at the bus bar. Mathematical equation of rising edge of the initial traveling wave is deduced in this paper. Furthermore, the indirect mathematical equation based on Maclaurin expansion theory is derived to improve its feasibility in the real application. Combining the indirect equation and the measured traveling wave data, the least-square algorithm-based fitting curve can be obtained to determine the singularity point. The proposed method' s efficiency in detecting the singularity point in weak traveling waves has been verified. The simulation results show that the proposed method had improved the accuracy and robustness of singularity point detection for weak waves significantly.
A small-scale Linear Fresnel Collector (LFC) for the generation of process heat has been tested by Fraunhofer ISE;its performance was evaluated by means of two different methods. The first is a quasi-dynamic testing m...
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A small-scale Linear Fresnel Collector (LFC) for the generation of process heat has been tested by Fraunhofer ISE;its performance was evaluated by means of two different methods. The first is a quasi-dynamic testing method performed according to the testing standard ISO 9806:2013, with modificationsin the model to accurately describe LFCs. Due to the two-dimensional Incidence Angle Modifier (IAM) of an LFC, an iterative multi-linear regression (MLR)approach has been developed to be able to comprehensively evaluate the optical performance. The second method is a dynamic testing method based on a parameter identification incorporating a multi-node/plug-flow collector model without strict restraints on mass flow and inlet temperature stability. Both methods are briefly described in their conceptual design and theirbasic requirements, revealing their similarities and differences. Each method is then applied to real measurement datafrom an LFC, assessing practicability and identification accuracy. For both methods, the mean absolutedifferencebetween identifiedIAM values and results from ray tracing fell in a range of 0.013-0.017, leading toa similar accuracy inLFC performance evaluation. Differences in optical efficiency between the two methodsare smaller,with anaverage absolutedifferencebelow 0.0098, even whenusing different measurement data and simulation models. Thus the dynamic methodrepresents a good starting point for the further development of an alternative dynamic testing and evaluation method with more flexibility than the current testing standard. This will be significantwhenevaluating large-scale concentrating collectors and collectors with direct steam generation.
At present, the closed-loop identification methods of nonlinear systems can not provide an satisfied performance. Generally, the step responses are performed to obtain the acceptable models of industrial processes. In...
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At present, the closed-loop identification methods of nonlinear systems can not provide an satisfied performance. Generally, the step responses are performed to obtain the acceptable models of industrial processes. In consideration of this, the paper proposes a state distinction based identification method. According to the slopes of response, the approximated step responses can be distinguished from the living operating data and stored in the predefined array firstly. Based on the obtained data, the leastsquare identification(LSI) is introduced to identify the linearized model of the process. The sum-square error(SSE) is used to determine the validity of the identified model. The example for a thermal process is employed to demonstrate the effectiveness of the proposed identification method. The results show that the identification method can provide an acceptable accuracy of the identified process in comparison with the results of step response.
The authors developed a novel numerical formulation that reduces the computational expense of solving linear and non-linear constitutive models. A finite-element constitutive law followed by a novel continuum model is...
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The authors developed a novel numerical formulation that reduces the computational expense of solving linear and non-linear constitutive models. A finite-element constitutive law followed by a novel continuum model is discussed. The proposed approach is employed to reduce numerical errors obtained from the standard finite-element method. The continuum model is based on the Lagrange multipliers strategy along with the finite-difference method and a least-square algorithm. It is crucial to this approach that the components of either the strain or the stress tensor are known at the nodes of the finite-element mesh. The proposed model is independent of element topology which can be strongly and arbitrarily distorted.
An accurate and simple model is essential to implement a model based controller. Wiener model is one of the simplest nonlinear models that can represent any nonlinear process. However, in Wiener Model development, the...
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ISBN:
(纸本)9781612842127
An accurate and simple model is essential to implement a model based controller. Wiener model is one of the simplest nonlinear models that can represent any nonlinear process. However, in Wiener Model development, there are several identification approaches available and need to be selected to produce the most accurate model. In this work, the nonlinear - linear approach, the linear - nonlinear approach, and the simultaneous approach are compared in identification of the Wiener model for nonlinear pH neutralization process. The parameters of linear block and the inverse of nonlinear block were obtained from several sets of data that are generated. These approaches are then compared in terms of model accuracy, calculation time, data requirement, and their flexibility.
The main features of Multi-Agent System (MAS) are the cooperation, coordination and communication between agents. One good test-bed for MAS is the robotsoccer. In robotsoccer the behaviour of each player in own team c...
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The main features of Multi-Agent System (MAS) are the cooperation, coordination and communication between agents. One good test-bed for MAS is the robotsoccer. In robotsoccer the behaviour of each player in own team can be calculated. But the behaviour of opponent robots and the ball can not be exactly estimated. It is necessary to predict the future position of the opponent robots and the ball. This paper will present an algorithm for the prediction of position of robots and ball.
In this paper, the characterization of the wavelet representations of 1/fprocesses in terms of orthonormal wavelet bases is exploited. Using it, we presentthe least-square algorithm for estimating the parameters of 1/...
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In this paper, the characterization of the wavelet representations of 1/fprocesses in terms of orthonormal wavelet bases is exploited. Using it, we presentthe least-square algorithm for estimating the parameters of 1/f processes. A varietyof results from simulations are presented to show the validity of our algorithm.
The research in autonomous mobile robot is enlarging upon low cost mobile robotics. This low cost constraint implies the use of a poor perception system and a low computing power. In such a context, algorithms have to...
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The research in autonomous mobile robot is enlarging upon low cost mobile robotics. This low cost constraint implies the use of a poor perception system and a low computing power. In such a context, algorithms have to be simple in order to be executed in real time and proof against the weaknesses of the sensing system. The solutions proposed for the localisation are based on the fact that the higher the localisation algorithm speed is the lower the error on the position and on the orientation due to the odometry is.
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