Discrete Event Supervisory Control and Nonlinear Motion Control for DoD and Industrial Systems

Abstract

This grant focuses on the design of advanced control systems for high performance Army vehicles and Autonomous Unmanned Vehicles (UAV/UGV). We focus on the inherent complexity and design challenges of achieving significant performance in short time intervals. Structured Nonlinear Network controllers are designed to significantly improve performance precision and speed of Army systems that have uncertain dynamics, disturbances, and control actuator limitations. On-line adaptive controllers are designed that converge to Optimal Control solutions with guaranteed performance.

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Document Details

Document Type
Technical Report
Publication Date
Mar 17, 2014
Accession Number
ADA626741

Entities

People

  • Frank L. Lewis

Organizations

  • University of Texas at Arlington

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • C4I
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Autonomous Systems
  • Birds
  • Cognitive Systems Engineering
  • Control Systems
  • Control Systems Engineering
  • Cooperative Control
  • Department Of Defense
  • Engineering
  • Microelectromechanical Systems
  • Multiagent Systems
  • Neural Networks
  • Students
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Unmanned Vehicles
  • Vehicles

Readers

  • Operations Research
  • Robotics and Automation.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control