Magnetic measurement is a typical inverse problem in Biomedical field. In this kind of problem we always need to locate the positions and moments of one or more magnetic dipoles. Although using the traditional methods...
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Magnetic measurement is a typical inverse problem in Biomedical field. In this kind of problem we always need to locate the positions and moments of one or more magnetic dipoles. Although using the traditional methods to solve this kind of inverse problem has all kinds of shortcomings, BPNN (Back Propagation Neural Networks) method can be used to solve this typical inverse problem fast enough for real time measurement. In the traditional BPNN method, gradient descent search method is performed for error propagation. In this paper the authors propose a new algorithm that Newton method is performed for error propagation. For the cost function is highly nonconvex in the magnetic measurement problem, the new kind of BPNN can get convergent results quickly and precisely. A simulation result for this method is also presented.
The motion of a multi-body autonomous robot as well as of a train-like multi-articulated transportation vehicle is characterized by the deviation of the path of each intermediate vehicle from that of the leading one (...
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The motion of a multi-body autonomous robot as well as of a train-like multi-articulated transportation vehicle is characterized by the deviation of the path of each intermediate vehicle from that of the leading one (...
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The motion of a multi-body autonomous robot as well as of a train-like multi-articulated transportation vehicle is characterized by the deviation of the path of each intermediate vehicle from that of the leading one (off-tracking). In this paper, we make use of an innovative junction technique, which allows the kingpin to slide along the axis of the leading vehicle, something that proved to be very effective in reducing off-tracking. We propose two controllers for the elimination of the off-tracking phenomenon, in both robotic and transportation multi-articulated vehicles; the one is heuristically derived while the other one is based on steady-state off-tracking when an n-trailer vehicle moves on a circular trajectory. Simulation results for various cases, without and with the sliding kingpin system, showed that significant off-tracking reduction or even elimination can be achieved.
This paper examines two classes of algorithms that estimate a continuous time ARX type of models from discrete data: one is based on infinite impulse response (IIR) filters while the other is based on finite impulse r...
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A paper deals with application of stochastic methods for dynamic neural network training. The considered network is composed of dynamic neurons, which contain inner feedbacks. This network can be used as a part of a f...
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Recent years has seen much progress in the theory and application of iterative learning control schemes for both linear and (classes of) nonlinear dynamics. In the case of the former, many algorithms based on minimizi...
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This paper addresses the problem of implementing predictive controllers for supervisory level control systems. In this configuration the manipulated variables calculated by the Predictive controller are used as comman...
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Electro Speckle Pattern Interferometry (ESPI) and Shearography for quantitative analysis of a crack inside of pipelines are described. Shearography is used widely for non-destructive inspection because of high sensiti...
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ISBN:
(纸本)7560317685
Electro Speckle Pattern Interferometry (ESPI) and Shearography for quantitative analysis of a crack inside of pipelines are described. Shearography is used widely for non-destructive inspection because of high sensitivity and simple interferometer. However, it is difficult to determine the defect size quantitatively because there are so many effect factors- shearing distance, shearing direction, induced load, and crack dept., which is depend on operator's skill. In this paper, a crack inside of pipeline is inspected with Shearography and ESPI. Firstly, the condition of these factors in Shearography is optimized for quantitative analysis and the size of crack is determined. And also, ESPI is used for determination of crack size quantitatively also. This method is independent on information of a crack and only induced load play an important role. The deformation is measured three-dimensionally and differentiated for finding of strain concentration points, which is equal to result of Shearography so that crack size can be determined quantitatively without any information of crack.
A learning feedforward controller (LFFC) using the Bartlet window function is proposed for a better tracking control of linear system over a finite time interval. LFFC is applied as a feedforward controller to the exi...
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A learning feedforward controller (LFFC) using the Bartlet window function is proposed for a better tracking control of linear system over a finite time interval. LFFC is applied as a feedforward controller to the existing feedback controller. This paper demonstrates that using a simple window function-Bartlet (Fejer or triangular) window in signal processing, the design of a learning feedforward controller reduces to determining only two design parameters: the learning gain and the number of point in the window. Convergence analysis is presented together with a design procedure.
This paper examines two classes of algorithms that estimate a continuous time ARX type of models from discrete data: one is based on infinite impulse response (IIR) filters while the other is based on finite impulse r...
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This paper examines two classes of algorithms that estimate a continuous time ARX type of models from discrete data: one is based on infinite impulse response (IIR) filters while the other is based on finite impulse response (FIR) filters. The IIR filters use continuous time state variable filters, and discretisation is performed on the filtered derivatives. In contrast, the FIR filters are in a discrete form with carefully chosen coefficients to approximate the derivatives of the continuous time variables. The strength and weakness of each approach are discussed and demonstrated by a set of simulation examples.
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