Accession Number : ADA307666

Title :   System Identification for Robust Control Design.

Descriptive Note : Final rept. 16 Mar 93-31 Oct 95,

Corporate Author : INTEGRATED SYSTEMS INC SANTA CLARA CA

Personal Author(s) : Kosut, Robert L.

PDF Url : ADA307666

Report Date : 09 FEB 1996

Pagination or Media Count : 111

Abstract : The long-range goal of this research program is to form a new system identification paradigm that fulfills all the requirements of robust control design, i.e., to produce from finite measured data a model which includes descriptors for both dynamic and disturbance uncertainty. Several directions were pursued during the reporting period: (1) least-squares related approaches (2) 'windsurfer' (learning) adaptation, and (3) uncertainty model unfalsification. The latter, together with some of the ideas in 'windsurfer' adaptation, marks a significant advance towards attaining the program objectives. The new idea is to replace identification of a single (transfer function) model with unfalsification of a family of uncertainty models and then to design a corresponding family of robust controllers to be tested on the actual system. (Both dynamic and noise uncertainty parameters are estimated along with the nominal transfer function).

Descriptors :   *MATHEMATICAL MODELS, *ADAPTIVE CONTROL SYSTEMS, *SYSTEMS ANALYSIS, *CONTROL THEORY, ALGORITHMS, SOFTWARE ENGINEERING, UNCERTAINTY, SYSTEMS ENGINEERING, TRANSFER FUNCTIONS, DATA MANAGEMENT, REAL TIME, PARAMETERS, SIGNAL TO NOISE RATIO, GAUSSIAN NOISE, INPUT OUTPUT PROCESSING, IDENTIFICATION, NONLINEAR SYSTEMS, APPROXIMATION(MATHEMATICS), ERROR ANALYSIS, LEAST SQUARES METHOD, FAST FOURIER TRANSFORMS, RESEARCH MANAGEMENT, DESIGN CRITERIA, DYNAMIC PROGRAMMING, ERROR CORRECTION CODES, CLOSED LOOP SYSTEMS, NONLINEAR PROGRAMMING.

Subject Categories : Operations Research
      Computer Programming and Software

Distribution Statement : APPROVED FOR PUBLIC RELEASE