Monte Carlo methods for stochastic time-optimal control.

Yurtseven, H Öner


Monte Carlo computer simulation of copper clusters
Erkoç, Şakir; Shaltaf, R (1999-10-01)
We have investigated the structural stability and energetics for small copper clusters, Cu-n (n=3,...,55) by using a Monte Carlo technique at room temperature (T=300 K). In the simulation we have adopted two approaches; one of them was optimizing the cluster from a random configuration as a starting point, and the other was optimizing the cluster by adding one atom randomly to an optimized geometry. The empirical potential-energy function proposed by Erkoc has been used, which contains two-body atomic inter...
Monte Carlo simulation studies of binary mixtures
Karaaslan, Hasan; Yurtsever, Ersin; Department of Chemistry (1994)
Monte Carlo studies of binary mixtures: Effects of particle size
Aşkun, Cengiz Savaş; Yurtsever, Ersin; Department of Chemistry (1994)
Monte Carlo analysis of ridged waveguides with transformation media
Ozgun, Ozlem; Kuzuoğlu, Mustafa (Wiley, 2013-07-01)
A computational model is presented for Monte Carlo simulation of waveguides with ridges, by combining the principles of transformation electromagnetics and the finite methods (such as finite element or finite difference methods). The principle idea is to place a transformation medium around the ridge structure, so that a single and easy-to-generate mesh can be used for each realization of the Monte Carlo simulation. Hence, this approach leads to less computational resources. The technique is validated by me...
Monte Carlo based control algorithm for economic feasibility of V2G applications
Şahinkaya, Kıvanç; Güven, Ali Nezih; Department of Electrical and Electronics Engineering (2019)
The use of electric vehicles (EVs) has been increasing in recent years due to economic and environmental factors. This rapid development makes it necessary to investigate the effects EVs on the power system planning and system participants. The aim of this study is to determine the optimal operating strategy for a microgrid operator which can function as a prosumer with the contribution of vehicle to grid (V2G) application. The connection time, plug-in time and state of charge (SoC) of EVs are stochastic va...
Citation Formats
H. Ö. Yurtseven, “Monte Carlo methods for stochastic time-optimal control.,” Middle East Technical University, 1969.