Control Theory for Autonomously Guided Missile Platforms.

Abstract

This report summarizes an effort to develop analytical and computational techniques for performance evaluation of Autonomously Guided Platforms with Multiple Sensors (AGPMS). A classical analysis of seeker pointing and tracking servomechanism performance for missile guidance problems is developed as a baseline for comparison with theoretical studies of nonlinear stochastic control laws. Stochastic control theory is applied to the AGPMS problem. Analysis of timescale separation of multiple control loops for AGPMS problem leads to effective simplifying control structure. Results of these studies include a substantially new theory for significantly different control structures for AGPMS problem than suggested by the deterministic formulation of optimal control theory. The problem of multiple target detection and tracking is considered as a problem of simultaneous detection and estimation of signals. We develop a set of sufficient statistics which can be computed recursively by linear equations. Examples in radar tracking and target discrimination are considered.

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Document Details

Document Type
Technical Report
Publication Date
Aug 15, 1986
Accession Number
ADA173129

Entities

People

  • G. L. Blankenship
  • H. G. Kwatny
  • J. S. Baras

Tags

Communities of Interest

  • C4I
  • Counter WMD
  • Cyber
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Computations
  • Control Systems
  • Detectors
  • Differential Equations
  • Equations
  • Ergodic Processes
  • Filtration
  • Information Science
  • Kalman Filters
  • Mathematical Filters
  • Probability
  • Random Variables
  • Servomechanisms
  • Statistics
  • Stochastic Control
  • Stochastic Processes

Readers

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  • Distributed Systems and Data Platform Development