Practical Control Algorithms for Nonlinear Dynamical Systems Using Phase-Space Knowledge and Mixed Numeric and Geometric Computation.

Abstract

Research results include: (1) Developed empirical performance criteria for characterizing stabilities and robustness of the maglev control experimental system and completed a preliminary implementation of the performance characterization algorithms; (2) Developed and experimented with a phase-space search algorithm for synthesizing control actions; (3) Presented part of the above results in an article, 'Phas-Space Nonlinear Control Tool-box: The Maglev Experience' at HS'97: Fifth International Hybrid Systems Workshop, Notre Dame, IN, Sept. 11-13,1997

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1997
Accession Number
ADA330093

Entities

People

  • Feng Zhao

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Gaps
  • Algorithms
  • Artificial Intelligence
  • Autonomous Systems
  • Computational Science
  • Computer Science
  • Control Systems
  • Geometry
  • Hybrid Systems
  • Information Processing
  • Information Science
  • Maglev
  • Models
  • Nonlinear Dynamics
  • Nonlinear Systems
  • Space Based
  • Theoretical Computer Science

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Technical Research and Report Writing.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers