@conference {16,
	title = {MACH-1: Control System Modeling and Design for a Mars Flyer},
	booktitle = {AIAA GNC 2008},
	year = {2008},
	month = {08/2008},
	publisher = {AIAA},
	organization = {AIAA},
	address = {Honolulu, HI},
	abstract = {Mars science missions would benefit from the ability to acquire high resolution images of the Martian surface, as well as sensor coverage from other sensors. A robotic aircraft on Mars has been proposed to carry these instruments. The atmosphere and weak Martian gravity make the plane equivalent to a very high altitude aircraft on the Earth. The MACH-1 challenge is a design contest to model, simulate, and design the control system for this future Mars flyer. The design specifications are used to create a SIMULINK full six degree of freedom model, which is validated with open loop simulations. Trim conditions are used to generate perturbation models for control loop design, and output regulator linear quadratic regulator design is used to generate a gain matrix for straight and level flight. The generated model is unstable, and the control design developed cannot stabilize the non-linear model.},
	author = {Gabriel H Elkaim and J.-W. Choi and Daniel Garalde and Mariano Lizarraga}
}
@article {13,
	title = {MAV Attitude Determination from Observations of Earth{\textquoteright}s Magnetic and Gravity Field Vectors},
	journal = {IEEE Journal of Aerospace Electronic Systems},
	volume = {44},
	year = {2008},
	month = {07/2008},
	chapter = {1012},
	author = {Demoz Gebre-Egziabher and Gabriel H Elkaim}
}
@article {19,
	title = {Calibration of Strapdown Magnetometers in the Magnetic Field Domain},
	journal = {ASCE Journal of Aerospace Engineering},
	volume = {19},
	year = {2006},
	month = {04/2006},
	chapter = {1},
	abstract = {This paper presents an algorithm for calibrating strapdown magnetometers in the magnetic field domain. In contrast to the traditional method of compass swinging, which computes a series of heading correction parameters and thus is limited to use with two-axis systems, this algorithm estimates magnetometer output errors directly. Therefore, this new algorithm can be used to calibrate a full three-axis magnetometer triad. The calibration algorithm uses an iterated, batch least-squares estimator that is initialized using a two-step nonlinear estimator. The algorithm is simulated to validate convergence characteristics and further validated on experimental data collected using a magnetometer triad. It is shown that the postcalibration residuals are small and result in a system with heading errors on the order of 1 to 2 degrees.},
	doi = {10.1061/(ASCE)0893-1321(2006)19:2(87)},
	author = {Demoz Gebre-Egziabher and Gabriel H Elkaim}
}
