Autonomous, Nonlinear Control of Air, Space and Ground Systems

Developing rigorous theory and implementation methods for complex high-order multiple time-scale nonlinear systems, focusing on hypersonic, planetary entry, Intelligence, Surveillance, Reconnaissance (ISR), multi-agent cooperative control of systems operating in outdoor GPS denied or reduced environments, and morphing unmanned air vehicles. Techniques used are Machine Learning; Nonlinear Singular Perturbation Theory; Robust and Fault Tolerant Adaptive Control, Online Real-Time System Identification; Formation Vehicle Control; Active Flow Control

C-UAS: Online Near Real time System Identification of UAS

Phase I IUCRC Texas A&M University: Center for Unmanned Air Systems

Tightly Integrated Navigation and Guidance for Multiple Autonomous Agents

Autonomous Navigation in Challenging Operational Environments: Demonstration

Small VTOL Unmanned Air System Controller Design and Evaluation for Variable Wind Conditions, Phase I

Intelligent and Safe Technologies for Enhanced UAS Autonomous Air Refueling Operations, Phase I

State Constrained Adaptive Flight Control, Phase I

Unmanned Air System Departure Resistance Using Nonlinear Two-Time Scale Tracking Control

Optimal Six Degree-of-Freedom Maneuver Command Generator and Simulator Tools for Aircraft

Fault and Abort Tolerant Intelligent Ascent Control for Launch Vehicles

UAV Hingeless Flight Controls via Active Flow Control, Phase II

Adaptive Flight Controller, Phase I

Control of Forward Reaction Control System (RCS) Jets for Atmospheric Flight Risk-Reduction of Shuttle Orbiter During Entry

Support for Autonomous Aerial Refueling System (AARS) Demonstration

Synthesis and Evaluation of Robust Dynamic Inversion Flight Controllers for X-38 Class Re-Entry Vehicles

Evaluation of Dynamic Inversion as a Flight Control Methodology for Re-entry Vehicles

Enhancing the Cycle-of-Learning for Autonomous Systems to Facilitate Human-Agent Teaming

Agile Technology Development (ATD) – Air-Ground Coordinated Teaming

Multi-Sensor Flight Test

State Constrained Adaptive Flight Control, Phase II

Unmanned Vehicle Autonomous Algorithms

Machine Learning Control of Nonlinear, High Dimensional, Reconfigurable Systems

Optimal Trajectories and Analysis Using Implicit Functions

Machine Learning Control of Morphing Micro Air Vehicles

Fault Tolerant Nonlinear Adaptive Control for Mars Atmospheric Flight, Phase I:

UAV Hingeless Flight Controls via Active Flow Control, Phase I

Flight and Sensor Simulation for Autonomous Aerial Refueling Technology Development: Phase II

Flight Tests of an Unmanned Powered Parachute: A Validation Tool for GN&C Algorithms

Real Time Adaptive Navigation and Control of Highly Nonlinear Autonomous Systems

Coupled Static and Dynamic Stability of Aircraft

Multi-Axis Pneumatic Vortex Control: Advanced Pneumatic Vortex Control For Aircraft