Optimal Uncertainty Quantification for Engineering Systems

Applications of Optimal Uncertainty Quantification for engineering systems.

4 transformations of a MEMS engine cycle

The output of the MEMS engine

Optimal Uncertainty Quantification for analysis of self powered and bioinspired systems

References:

Farbod Khoshnoud, Michael McKerns, Clarence W. De Silva, Ibrahim Esat, Houman Owhadi, Self-powered Dynamic Systems in the framework of Optimal Uncertainty Quantification, ASME Journal of Dynamic Systems, Measurement, and Control, Volume 139, Issue 9, 2017. [PDF]

Farbod Khoshnoud, Michael McKerns, Clarence W. De Silva, Ibrahim Esat, Richard H.C. Bonser, Houman Owhadi, Self-powered and Bio-inspired Dynamic Systems: Research and Education, ASME 2016 International Mechanical Engineering Congress and Exposition, Phoenix, Arizona, USA, 2016.

Farbod Khoshnoud, Clarence W. De Silva, et al., Mechatronics: Fundamentals and Applications, (Chapter: Self-powered and Biologically Inspired Dynamic Systems), Taylor & Francis / CRC Press, 2015.

Farbod Khoshnoud, Houman Owhadi and Clarence W. de Silva, Stochastic simulation of energy extraction with an optically controlled nano-electromechanical engine, International Journal of Modelling and Simulation, Vol. 31 Issue 2, 2011, pp. 134-142.

Farbod Khoshnoud, H. Owhadi and C. W. de Silva, Stochastic Simulation of a Casimir Oscillator, Proc. of the ASME International Mechanical Engineering Congress & Exposition, Vancouver, BC, 2010.