Systematic Design of High-performance Hybrid Feedback Algorithms

Abstract

The objective of this research is to develop tools for systematic design of hybrid feedback algorithms in a variety of settings. Hybrid feedback algorithms, which combine classical feedback and logic or other reset mechanisms, are of interest to the Air Force because of the high degree of autonomy and cooperation that future reconnaissance and fighter aircraft will maintain. Complex control and coordination algorithms for such vehicles, involving multiple mode switching and other high-level supervisory control architectures, give rise to complicated hybrid dynamical systems with behaviors that can be difficult to predict and understand. Building on previous tools for predicting the behavior of complex hybrid dynamical systems, the proposed research aims to provide systematic tools for shaping the behavior of complex hybrid dynamical systems. Our techniques will involve Lyapunov-based approaches, optimization-based model predictive control, and dissipativity-based results.

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Document Details

Document Type
Technical Report
Publication Date
Jun 24, 2015
Accession Number
ADA621817

Entities

People

  • Andrew R. Teel

Organizations

  • University of California, Santa Barbara

Tags

Communities of Interest

  • C4I
  • Cyber
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Algorithms
  • Control Systems
  • Electronic Mail
  • Engineering
  • Feedback
  • Fighter Aircraft
  • Hybrid Systems
  • Linear Systems
  • Lyapunov Functions
  • Model Predictive Control
  • Multiagent Systems
  • Probability
  • Scientific Research
  • Stochastic Control
  • Vehicles

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