GPS Vehicle Dynamics Laboratory List of Research Interests:

•  Robust Control algorithms for computationally restricted platforms

1. Simple adaptive algorithms
2. Computationally efficient controllers

•  Sensor noise canceling for system identification

•  Low level GPS/INS integration for improved navigation

1. Improved dead reckoning through better initial alignment
2. Improved INS error characterization (including INS scale factor estimation)

•  Model-free (human-like) driver Control algorithms for autonomous vehicles

•  Controllers that can be moved from one vehicle to another

•  Multiple/Redundant sensor fusion for on-line system identification

•  Low-level GPS/INS integration using vehicle dynamic constraints for improved vehicle state and parameter estimation

•  Two-step on-line parameter identification of non-linear systems in the presence of noise

•  Design and control of MEMS actuators

•  Control of low-flying UAVs for mine recovery (and forest pesticide delivery)

•  Sensor and system fault detection and reconfigurable control and estimation algorithms

•  Low-cost MEMS sensor integration with GPS for UGVs and UAVs