A Modern Control Theory Enhancement to an Interactive Control Engineering Computer Analysis Package (ICECAP).

Abstract

This thesis reports on a continued development of an Interactive Control Engineering Computer Analysis Package (ICECAP). This package applies to discrete and continuous systems. The effort developed and implemented functional requirements involved in modern control theory. This includes implementing matrix operations, a continuous time steady state Riccati solver, polynomial operations, a C(SI - A) B function, and a state variable feedback design function. Major emphasis is placed on the development of the Riccati solver. The approach employed is the eigen number approach. It provides all solutions which is not the case for other methods contained in the current literature. Additionally, a user friendly interface is also developed which permits interactive communication, user assistance and error analysis. Furthermore, the use of keyword/command word interactive technique is also employed. Lastly, and more importantly, the implementation of a state variable feedback design function allows the user to easily apply a pole placement state variable feedback design technique. Additional keywords: ICECAP computer program; VAX 11/780 minicomputer; algorithms; user manuals; computer program documentations; and implementation.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1984
Accession Number
ADA153249

Entities

People

  • C. Narathong

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Cyber

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computer Program Documentation
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Control Systems Engineering
  • Control Theory
  • Engineering
  • Engineers
  • Information Science
  • Kalman Filters
  • Mechatronic Engineering
  • Operating Systems
  • Procedures (Computers)
  • Systems Engineering

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Science.
  • Control Systems Engineering.