Multiple-Time-Scale Nonlinear Output Feedback Control of Systems With Model Uncertainties by Dr. John Valasek
Abstract: The Geometric Singular Perturbation theory is a powerful control law development tool for multiple-timescale systems because it provides physical insight into the evolution of the states in more than one timescale. This presentation presents the theory for a nonlinear, multiple-time-scale, output feedback tracking controller for a class of nonlinear, nonstandard systems with slow and fast states, slow and fast actuators, and model uncertainties. The class of systems is motivated by aircraft with uncertain inertias, control derivatives, engine time-constant, and without direct measurement of angle-of-attack and sideslip angle.
Information front-end of aerospace systems: recent advances and experiences by Dr. Manoranjan Majji
Abstract: Recent advances in information fusion and smart sensing technologies for relative navigation of aerospace vehicles are discussed. Sensor physics and information processing principles to integrate vision-based sensor data with inertial measurements are presented, along with discussions associated with signal processing of an ultra-precise optomechanical accelerometer being developed at Texas A&M. The talk also discusses aeromagnetic sensing and localization approaches as potential alternatives to the global positioning system based approaches for localization.
