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Projects in 2010–2011


CODEE: ODE Toolkit (Joint CS/Math)

Advisors
Talithia Williams
Chris Stone

The Consortium of Ordinary Differential Equations Educators (CODEE), an organization dedicated to improving the teaching and learning of ordinary differential equations, created an educational, differential-equation-solving application called ODE Toolkit to pursue its goals. During the year, we have implemented an additional numerical solver capable of handling stiff differential equations, made necessary changes to the software's architecture, fixed bugs in the software, and conducted user testing regarding bugs and the usability of the software.

Team

  • Rebekah Kotcon
  • Samantha Mesuro (Project Manager)
  • Daniel Rozenfeld
  • Anak Yodpinyanee

DYNAR (Dynamic Network for Aquatic Robots) Collaboration, CGU: Cooperative Autonomous Aquatic Vehicles: Mathematics and Robotics

Advisor
Susan Martonosi

The Dynamic Networks for Aquatic Robots (DYNAR) research group is developing algorithms for autonomous submarines to cooperatively search an aquatic region. The Clinic team has implemented multiple randomized search algorithms for three-dimensional bounded environments and tested them in simulation. In an aquatic testbed, the team has improved computer-to-submarine communication and creates software for tracking the motion of submarines. The search algorithms have been implemented in the testbed to compare data from the physical environment with theoretical results from the simulations.

Team

  • Jennifer Flenner (CGU; Fall)
  • Mathew Keeter
  • Daniel Moore
  • Ryan Muller (Project Manager)
  • Eric Nieters

Space Systems/Loral: Application of Robust Control to Spacecraft Attitude Stability

Advisor
Rachel Levy

Geosynchronous communications satellites must be precisely pointed to ensure proper payload delivery. The team was tasked to explore modern control theory including multiple-input/multiple output techniques to improve the fidelity of the feedback control system for spacecraft attitude. The control system is designed to minimize the system's response to actuator and sensor noise. The team will provide simulation data and performance indicators as experimental and theoretical justification for the improved control system.

Team

  • Jacob Bouricius (Project Manager)
  • Maxwell Lee
  • Andrea Levy
  • Margaret Rogers