Multiobject Robust Control of Nonlinear Systems via State Dependent Coefficient Representations and Applications

Abstract

These past few years have seen a significant change in the roles and requirements of the U.S. Air Force. On the one hand, the well defined global threat posed by a few conventional and nuclear forces has been replaced by multiple, localized potential threats that in addition to the usual conventional and nuclear ones, also potentially involve chemical and biological weapons. In addition, the USAF role has expanded to include operations other than warfare, such as peacekeeping and humanitarian aid. Finally, limited resources mandate that these roles must he achieved in a cost-effective way. This scenario translates into a requirement for highly versatile systems, capable of delivering near optical performance under a wide range of conditions. In tills research we have developed a framework, based on the combination of Receding Horizon, Control Lyapunov Functions and Operator Interpolation Theory techniques, for systematically designing controllers capable of meeting these challenges. These controllers offer the following advantages over hitherto available design methods: The ability to deliver near optimal performance while keeping the computational complexity compatible with an on-line implementation.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2000
Accession Number
ADA419042

Entities

People

  • Mario Sznaier

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Algorithms
  • Coefficients
  • Commercial Aircraft
  • Computational Complexity
  • Computer Vision
  • Control Systems
  • Control Systems Engineering
  • Equations
  • Identification
  • Image Processing
  • Interpolation
  • Lyapunov Functions
  • Nonlinear Systems
  • Recognition
  • Warfare

Readers

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