....2007.01.003 . 16 Niederreiter , H. , 1992 , Random Number Generation Quasi-Monte Carlo Methods , SIAM , Philadelphia, PA . 17 Wu , H. , and Cai , K. , 2004 , “ Probabilistic Robust Analysis of Uncertain Control Systems Using Adaptive Importance Sampling ,” Control Theory Appl...

... is demonstrated. Simply, less computational cost and suitability for real-time applications are the main advantages of the proposed algorithm. 30 12 2008 01 12 2009 09 02 2010 09 02 2010 entropy filtering theory fuzzy set theory Monte Carlo methods target tracking data...

... ). atomic force microscopy microassembling Monte Carlo methods nanotechnology 14 06 2008 07 05 2009 06 11 2009 06 11 2009 2009 American Society of Mechanical Engineers ...

... are implemented. In practice, many simulations of the system lifetimes are necessary. In previous work ( 4 5 6 ), Monte Carlo simulation has been shown to be well suited to modeling the application of TLD to systems. The Monte Carlo method is a standard mathematical technique, described by Andrews and Moss...

... of an on-board human pilot can enable carrying out missions with unique characteristics, such as flying sorties of extremely long duration. aircraft control Monte Carlo methods remotely operated vehicles 05 06 2006 21 04 2007 2007 American Society of Mechanical Engineers ...

... the estimated values of σ and n 29 04 2005 17 05 2006 metallurgical industries partial differential equations coating techniques mass transfer heat transfer Monte Carlo methods distributed parameter systems distributed parameter modeling control intermetallic...

... reduced order systems transfer functions Monte Carlo methods linear systems Stochastic Robustness Monte Carlo Evaluation Genetic Algorithm Weibull Distribution Designing robust control laws for uncertain systems is a computationally complex problem. Real-valued uncertainty in system...