Language Measure for Robust Optimal Control

Abstract

We present the basic language measure algorithms with some preliminary definitions of terms used. Properties of the measure are presented accompanied by proofs. We then describe in detail the algorithm for generating an optimal controller with respect to the language measure, and then prove that the generation is indeed optimal. Next we describe our experimentation regarding extracting language measure parameters from real or simulated modeled scenarios. From this experiment we obtain a constructive method for getting these parameters that can be applied to other types of situations other than MICA situations, thereby validating the language measure as a viable method of measurement. Example controllers and plant models are then used to illustrate the robustness of the measure with respect to small perturbations of its input parameters, and how the optimal algorithm generates results that improve upon the non-optimal measurements.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA444858

Entities

People

  • Asok Ray
  • Travis Ortogero

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • C4I
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Algorithms
  • Automata
  • Command And Control
  • Demographic Cohorts
  • Engineering
  • Fighter Aircraft
  • Language
  • Measurement
  • New York
  • Perturbations
  • Simulations
  • Simulators
  • Specifications
  • Statistical Analysis

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation