Simulation of Stochastic Hybrid Systems using probabilistic boundary detection and adaptive time stepping
نویسندگان
چکیده
Article history: Received 4 June 2009 Received in revised form 6 April 2010 Accepted 31 May 2010 Available online 8 June 2010
منابع مشابه
Hybrid Probabilistic Search Methods for Simulation Optimization
Discrete-event simulation based optimization is the process of finding the optimum design of a stochastic system when the performance measure(s) could only be estimated via simulation. Randomness in simulation outputs often challenges the correct selection of the optimum. We propose an algorithm that merges Ranking and Selection procedures with a large class of random search methods for continu...
متن کاملHarmonics Estimation in Power Systems using a Fast Hybrid Algorithm
In this paper a novel hybrid algorithm for harmonics estimation in power systems is proposed. The estimation of the harmonic components is a nonlinear problem due to the nonlinearity of phase of sinusoids in distorted waveforms. Most researchers implemented nonlinear methods to extract the harmonic parameters. However, nonlinear methods for amplitude estimation increase time of convergence. Hen...
متن کاملEfficient Solution Procedure to Develop Maximal Covering Location Problem Under Uncertainty (Using GA and Simulation)
In this paper, we present the stochastic version of Maximal Covering Location Problem which optimizes both location and allocation decisions, concurrently. It’s assumed that traveling time between customers and distribution centers (DCs) is uncertain and described by normal distribution function and if this time is less than coverage time, the customer can be allocated to DC. In classical mod...
متن کاملTarget Detection in Bistatic Passive Radars by Using Adaptive Processing Based on Correntropy Cost Function
In this paper a novel method is introduced for target detection in bistatic passive radars which uses the concept of correntropy to distinguish correct targets from false detections. In proposed method the history of each cell of ambiguity function is modeled as a stochastic process. Then the stochastic processes consist the noise are differentiated from those consisting targets by constructing...
متن کاملNumerical Simulation of Two-phase Flows Using a Hybrid Volume of Fluid and Immersed Boundary Method
In this paper a simulation model is presented for the Direct Numerical simulation (DNS) of multiphase flow. This method combines the Volume of fluid model and Immersed Boundary method in order to investigate water-oil flow-pattern. The simulations were carried out on structured cartesian adaptive mesh refinement (SAMR), where the the Immersed Boundary represents the circular tube via Direct For...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Simulation Modelling Practice and Theory
دوره 18 شماره
صفحات -
تاریخ انتشار 2010