Research

Our research is focused on bridging the scientific gaps between traditional computer science topics and aerospace engineering topics, while achieving a high degree of closure between theory and experiment.  We focus on machine learning and multi-agent systems, intelligent autonomous control, nonlinear control theory, vision based navigation systems, fault tolerant adaptive control, and cockpit systems and displays.  What sets our work apart is a unique systems approach and an ability to seamlessly integrate different disciplines such as dynamics & control, artificial intelligence, and bio-inspiration.  Our body of work integrates these disciplines, creating a lasting impact on technical communities from smart materials to General Aviation flight safety to Unmanned Air Systems (UAS) to guidance, navigation & control theory.  Our research has been funded by AFOSR, ARO, ONR, AFRL, ARL, AFC, NSF, NASA, FAA, and industry.

Autonomous and Nonlinear Control of Cyber-Physical Air, Space and Ground Systems

Vision Based Sensors and Navigation Systems

Cybersecurity for Air and Space Vehicles

Air Vehicle Control and Management

Space Vehicle Control and Management

Advanced Cockpit/UAS Systems and Displays

Control of Bio-Nano Materials and Structures

Intelligent Systems

Development of an Integrated Multidisciplinary Curriculum for Intelligent Systems

National Science Foundation
1 March 2001 – 29 February 2004
Co-P.I.s Dimitris C. Lagoudas, Thomas W. Strganac, Othon K. Rediniotis, and John D. Whitcomb
Total award $354,999

This program is a curriculum development in the Aerospace Engineering department which provides undergraduate students an optional degree specialization in intelligent systems, encompassing both specialized core courses and elective courses throughout the freshman through senior years. Each participant receives specialized instruction in intelligent autonomous vehicles; biomimetics; smart materials technology; fluid-structure-control interactions; multidisciplinary design optimization; computational mechanics; controls; aerodynamics; and structures. The capstone of this program is a two-semester senior design sequence in which students design, simulate, test, build, and fly intelligently controlled uninhabited aerial vehicles (UAVs). Students who complete this Intelligent Systems option receive a certificate recognizing their accomplishment.

Working with me on this program are Graduate Research Assistants:

  • Brian Wood
  • Monish Tandale
  • Roshawn Bowers