Enhancing the resolving power of the Least squares Inversion with Active Constraint Balancing
نویسندگان
چکیده
We present a new inversion approach, in which the Lagrangian multiplier is set as a variable at each parameterized blocks and automatically determined according to the parameter resolution matrix and spread function analysis. The approach, named Active Constraint Balancing (ACB), tries to balance the constraints of the optimization according to sensitivity for a given problem so that it enhances the resolution as well as the stability of the inversion process. We demonstrate the performance of the ACB by applying it to a two dimensional resistivity tomography, which results in a remarkable enhancement of the spatial resolution.
منابع مشابه
Automatic estimation of regularization parameter by active constraint balancing method for 3D inversion of gravity data
Gravity data inversion is one of the important steps in the interpretation of practical gravity data. The inversion result can be obtained by minimization of the Tikhonov objective function. The determination of an optimal regularization parameter is highly important in the gravity data inversion. In this work, an attempt was made to use the active constrain balancing (ACB) method to select the...
متن کاملInverse modeling of gravity field data due to finite vertical cylinder using modular neural network and least-squares standard deviation method
In this paper, modular neural network (MNN) inversion has been applied for the parameters approximation of the gravity anomaly causative target. The trained neural network is used for estimating the amplitude coefficient and depths to the top and bottom of a finite vertical cylinder source. The results of the applied neural network method are compared with the results of the least-squares stand...
متن کاملModified Weighted Least Squares Method to Improve Active Distribution System State Estimation
The development of communications and telecommunications infrastructure, followed by the extension of a new generation of smart distribution grids, has brought real-time control of distribution systems to electrical industry professionals’ attention. Also, the increasing use of distributed generation (DG) resources and the need for participation in the system voltage control, which is possible ...
متن کاملA new method for 3-D magnetic data inversion with physical bound
Inversion of magnetic data is an important step towards interpretation of the practical data. Smooth inversion is a common technique for the inversion of data. Physical bound constraint can improve the solution to the magnetic inverse problem. However, how to introduce the bound constraint into the inversion procedure is important. Imposing bound constraint makes the magnetic data inversion a n...
متن کاملVirtual Flux Based Direct Power Control on Vienna Rectifier
This paper proposes the virtual flux based direct power control for Vienna rectifier. No need for the input voltage sensors, the current regulation loop and PWM voltage modulation block along with the active and reactive power decoupling are some of the salient advantages of this method that make it suitable for controlling the conventional active rectifiers. However, due to the three-level nat...
متن کامل