Accession Number : ADA186086

Title :   A Weighting Sequence Approach to the Analysis and Design of Multivariable Control Systems.

Descriptive Note : Doctoral thesis,

Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH

Personal Author(s) : Cloud, David J

PDF Url : ADA186086

Report Date : Jan 1987

Pagination or Media Count : 258

Abstract : Over the past decade, considerable effort has been devoted to the analysis and design of feedback controllers for systems characterized by uncertain dynamic descriptions, and both frequency-domain and time-domain techniques have been produced by these studies. In this document, additional aspects of the analysis and design problems are investigated. Techniques are derived to enhance the frequency-domain analysis of perturbed systems and to generalize the time-domain concept of self-tuning control to multivariable systems. The first part of this document addresses the problem of generating an accurate description of frequency response uncertainty for systems whose models are generated via system identification. Finite weighting sequence models are found to be particularly useful for this purpose. Techniques are derived to quantify the variability of the frequency response estimates associated with the given model, to identify the optimal truncation level for the specified identification test, and to assess the impact of the bias introduced by truncation. The second part considers the use of multivariable weighting sequences in the development of on-line computer-implemented control algorithms.

Descriptors :   *CONTROL SYSTEMS, *MULTIVARIATE ANALYSIS, *SYSTEMS APPROACH, BIAS, DYNAMICS, ESTIMATES, FREQUENCY, FREQUENCY RESPONSE, IDENTIFICATION, IMPACT, MODELS, OPTIMIZATION, PERTURBATIONS, SEQUENCES, TIME DOMAIN, TRUNCATION, WEIGHTING FUNCTIONS, SYSTEMS ANALYSIS, FEEDBACK

Subject Categories : Operations Research
      Human Factors Engineering & Man Machine System

Distribution Statement : APPROVED FOR PUBLIC RELEASE