Now showing items 1-9 of 9

    • Better stability with measurement errors 

      Argun, A.; Volpe, G. (Springer New York LLC, 2016-06)
      Often it is desirable to stabilize a system around an optimal state. This can be effectively accomplished using feedback control, where the system deviation from the desired state is measured in order to determine the ...
    • Dynamical effects of noise on nonlinear systems 

      Duman, Özer (Bilkent University, 2014)
      Randomness and nonlinear dynamics consitute the most essential part of many events in nature. Therefore, a better and comprehensive understanding of them is a crucial step in describing natural phenomena as well as the ...
    • Noise-induced drift in stochastic differential equations with arbitrary friction and diffusion in the smoluchowski-kramers limit 

      Hottovy, S.; Volpe, G.; Wehr, J. (Springer, 2012)
      We consider the dynamics of systems with arbitrary friction and diffusion. These include, as a special case, systems for which friction and diffusion are connected by Einstein fluctuation-dissipation relation, e. g. Brownian ...
    • Numerical Simulation of Brownian Particles in Optical Force Fields 

      Volpe, G.; Volpe, G. (2013)
      Optical forces can affect the motion of a Brownian particle. For example, optical tweezers use optical forces to trap a particle at a desirable position. Using more complex force fields it is possible to generate more ...
    • Numerical simulation of optically trapped particles 

      Volpe, Giorgio.; Volpe, Giovanni. (SPIE, 2014)
      Some randomness is present in most phenomena, ranging from biomolecules and nanodevices to financial markets and human organizations. However, it is not easy to gain an intuitive understanding of such stochastic phenomena, ...
    • Optimal control for a class of partially observed bilinear stochastic systems 

      Dabbous Tayel, E. (Publ by IEEE, Piscataway, NJ, United States, 1990)
      An alternative formulation is presented for a class of partially observed bilinear stochastic control problems which is described by three sets of stochastic differential equations: one for the system to be controlled, one ...
    • An SDE approximation for stochastic differential delay equations with state-dependent colored noise 

      McDaniel, A.; Duman, Ö.; Volpe, G.; Wehr, J. (Polymat Publishing, 2016-11)
      We consider a general multidimensional stochastic differential delay equation (SDDE) with state-dependent colored noises. We approximate it by a stochastic differential equation (SDE) system and calculate its limit as the ...
    • Simulation of active Brownian particles in optical potentials 

      Volpe, G.; Gigan, S.; Volpe, G. (S P I E - International Society for Optical Engineering, 2014)
      Optical forces can affect the motion of a Brownian particle. For example, optical tweezers use optical forces to trap a particle at a desirable position. Unlike passive Brownian particles, active Brownian particles, also ...
    • Spatial Measurement of Spurious Forces With Optical Tweezers 

      Bordeu, I.; Volpe, G.; Staforelli, J. P. (2013)
      The study of diffusion in a crowded and complex environment, such as inside a cell or within a porous medium, is of fundamental importance for science and technology. Combining blinking holographic optical tweezers and ...