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Implementation and Documentation of ORACLS (Optimal Regulator Algorithm for the Control of Linear Systems) Software Package

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Bibliographic Details
Title: Implementation and Documentation of ORACLS (Optimal Regulator Algorithm for the Control of Linear Systems) Software Package
Authors: Parvizi, Bahram
Committee Members: Harris, Michael G.; Michael G. Harris (Q58394797)University of Central Florida. College of Engineering [VIAF]University of Central Florida. College of Engineering [LC]
Summary: The objective of this research is to mount a software package entitled Optimal Regulator Algorithms for the Control of Linear Systems (ORACLS), on a Control Data Corporation (CDC) Cyber 74 digital computer system at Florida State University so that is can be operated from the University of Central Florida. The software package contains 60 subroutines which can be used for the analysis and design of state variable feedback control alws for time-invariant linear systems. The procedure for using this package is documented. Several examples are presented to illustrate the capability ORACLS in both digital and continuous linear-quadratic-gaussian (LQG) controller design and additionally, to demonstrate the construction of typical executive programs.
URL: https://stars.library.ucf.edu/rtd/509
Database: OpenDissertations
Description
Abstract:The objective of this research is to mount a software package entitled Optimal Regulator Algorithms for the Control of Linear Systems (ORACLS), on a Control Data Corporation (CDC) Cyber 74 digital computer system at Florida State University so that is can be operated from the University of Central Florida. The software package contains 60 subroutines which can be used for the analysis and design of state variable feedback control alws for time-invariant linear systems. The procedure for using this package is documented. Several examples are presented to illustrate the capability ORACLS in both digital and continuous linear-quadratic-gaussian (LQG) controller design and additionally, to demonstrate the construction of typical executive programs.