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Towards concept generation and performance-complexity tradespace exploration of engineering systems using convex hulls
(Massachusetts Institute of Technology, 2017)
This thesis examines tradeoffs between performance and complexity in the context of future aircraft engine architectures and a reconfigurable mobile device. Traditionally aircraft/engine system architecture selection has ...
Modeling distributed product development processes in small and medium enterprises
(Massachusetts Institute of Technology, 2015)
Effective and efficient product development (PD) is critical to the success of many firms. The market's emphasis on getting faster and cheaper products has forced firms to shift their PD practices from sequential to ...
A factored planner for the temporal coordination of autonomous systems
(Massachusetts Institute of Technology, 2015)
Embedded devices are being composed into ever more complex networked systems, including Earth observing systems and transportation networks. The complexity of these systems require automated coordination, but planning for ...
Least Squares Shadowing for sensitivity analysis of large chaotic systems and fluid flows
(Massachusetts Institute of Technology, 2016)
Computational methods for sensitivity analysis have proven to be incredibly useful to a wide range of engineers. Aerospace engineers have used these methods to optimize aerodynamic shapes and aircraft configurations, ...
Design and evaluation of distributed spacecraft missions for multi-angular Earth observation
(Massachusetts Institute of Technology, 2015)
Distributed Spacecraft Missions (DSMs) are gaining momentum in their application to Earth science missions owing to their ability to increase observation sampling in spatial, spectral and temporal dimensions. This thesis ...
Development of ultracompact, high-sensitivity, space-based instrumentation for far-infrared and submillimeter astronomy
(Massachusetts Institute of Technology, 2015)
Far-infrared (IR) and submillimeter (15 [mu]m-1 mm) spectroscopy provides a powerful tool to probe a wide range of environments in the universe. In the past thirty years, many space-based observatories have opened the ...
On the low-dimensional structure of Bayesian inference
(Massachusetts Institute of Technology, 2017)
The Bayesian approach to inference characterizes model parameters and predictions through the exploration of their posterior distributions, i.e., their distributions conditioned on available data. The Bayesian paradigm ...
Robust Bayesian state estimation and mapping
(Massachusetts Institute of Technology, 2015)
Virtually all robotic and autonomous systems rely on navigation and mapping algorithms (e.g. the Kalman filter or simultaneous localization and mapping (SLAM)) to determine their location in the world. Unfortunately, these ...
Electrically-assisted evaporation of charged fluids : fundamental modeling and studies on ionic liquids
(Massachusetts Institute of Technology, 2016)
Electrosprays of the pure-ion variety embody a unique collection of attributes that have compelled interest in derivative technologies across a spectrum of applications ranging from Focused Ion Beams (FIB) to microrocketry. ...
Systems-theoretic safety analyses extended for coordination
(Massachusetts Institute of Technology, 2017)
When interdependent conditions exist among decision units, safety results in part from coordination. Safety analysis methods should correspondingly address coordination. However, state-of-the-art safety analysis methods ...