نتایج جستجو برای: approximate dynamic analysis

تعداد نتایج: 3186087  

Journal: :iranian journal of optimization 2010
h. saberi-nik s. effati r. buzhabadi

in this paper, we give an analytical approximate solution for an integro- differential equation which describes the charged particle motion for certain configurations of oscillating magnetic fields is considered. the homotopy analysis method (ham) is used for solving this equation. several examples are given to reconfirm the efficiency of these algorithms. the results of applying this procedure...

Journal: :international journal of advanced structural engineering 2009
li shuang zhai changhai xie lili

near-fault ground motions with long-period pulses can place severe demands on structures near an active fault. these pulse-type ground motions can be represented by pulse sequences with simple shapes. half-sinusoidal pulse sequences are used to approximate recorded ground motions and dynamic responses of sdof system under the excitation of these pulse sequences are studied. four cases are consi...

Journal: :international journal of civil engineering 0
a. kaveh iust n. farhoodi bhrc

in this paper, the problem of layout optimization for x-bracing of steel frames is studied using the ant system (as). a new design method is employed to share the gravity and the lateral loads between the main frame and the bracings according to the requirements of the ibc2006 code. an algorithm is developed which is called optimum steel designer (osd). an optimization method based on an approx...

Journal: :مهندسی برق و الکترونیک ایران 0
f. karbalaei s. abasi a. abedinzade m. kaviani

in methods presented to calculate the voltage collapse point, the transmission system is usually the only part of the power system that is completely modeled. distribution systems are often replaced by aggregate load models because the use of the detailed model of distribution systems in voltage stability analysis not only increases the computation time, but also decreases the probability of co...

Journal: :IEEE transactions on neural networks and learning systems 2021

We develop a method for obtaining safe initial policies reinforcement learning via approximate dynamic programming (ADP) techniques uncertain systems evolving with discrete-time dynamics. employ the kernelized Lipschitz estimation to learn multiplier matrices that are used in semidefinite frameworks computing admissible control provably high probability. Such controllers enable initialization a...

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