Fundamental Limitations and Capabilities of Robust Identification and Adaptive Control.

Abstract

In the past decade, a powerful theory for designing robust control systems has emerged. Starting with a model, and a description of the uncertainty (structured, parametric etc.), a controller can be designed to meet a variety of performance specifications. This development, however, has not been accompanied by parallel development in system identification methods by which a plant model and a description of uncertainty is provided. In an attempt to bridge this gap, a new area of research in robust identification has emerged in the last few years. (AN)

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Document Details

Document Type
Technical Report
Publication Date
Jan 17, 1995
Accession Number
ADA291085

Entities

People

  • J. N. Tsitsiklis
  • M. A. Dahleh

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Algorithms
  • Closed Loop Systems
  • Complex Variables
  • Computational Science
  • Computer Programming
  • Computer Science
  • Computers
  • Control Systems
  • Electrical Engineering
  • Engineers
  • Functional Analysis
  • Linear Programming
  • Mathematical Models
  • Random Variables
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Joint Military Operations and Doctrine.