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University of Patras

ΑΥΤΟΠΡΟΣΑΡΜΟΖΟΜΕΝΟΙ ΑΛΓΟΡΙΘΜΟΙ ΑΥΤΟΜΑΤΟΥ ΕΛΕΓΧΟΥ: ΣΥΓΚΡΙΤΙΚΗ ΥΠΟΛΟΓΙΣΤΙΚΗ ΑΝΑΛΥΣΗ-ΠΑΡΑΛΛΗΛΙΣΜΟΣ

Abstract

dc:description

THE SUBJECT OF THIS THESIS WAS THE STUDY OF BOTH KNOWN AND NEW ADAPTIVE CONTROL ALGORITHMS, FOR LINEAR, STOCHASTIC, DISCRETE TIME SYSTEMS, WITH UNKNOWN PARAMETERS. WE CONSIDERED FIRST THE CASE WHERE THE SYSTEM MODEL IS IN STATE SPACE FORM. THE TWO WELL KNOWN ADAPTIVE CONTROL ALGORITHMS, FOR SYSTEMS WITH UNKNOWNBUT CONSTAND PARAMETERS ARE COMPLETELY ANALYZED AND COMPARED WITH RESPECT TO CONVERGENCE, ACCURACY, PERFORMANCE AND COMPUTATIONAL REQUIREMENTS (TIME AND MEMORY). SPECIFICALLY, THE MULTI-MODEL PARTITIONING CONTROL OF LAINIOTIS (ALC)AND THE SELF-TUNING REGULATOR OF ASTROM (STR), ARE COMPARED TO THE INACCESSIBLE OPTIMAL LINEAR SEPARATION CONTROL (LSC), VIA EXTENSIVE SIMULATIONS. THE STUDY OF THESE ALGORITHMS, IN THE CASE WHERE THE UNKNOWN PARAMETERS ARE TIME- VARYING, WHILE THE FILTERS ARE DESIGNED FOR TIME INVARIANT, IS FOLLOWING. ALSO, ASPECIAL FORM OF ALC, THE PARTIALLY AGRAGATED ALC IS ANALYSED AND COMPARED TO THE ALC. IN THE SECOND PART, THE DEVELOPMENT AND STUDY OF NEW ALGORITHMS AND METHODS, FOR IDENTIFICATION AND CONTROL OF SYSTEMS WITH UNKNOWN BOTH PARAMETERSAND ORDER, IS PRESENTED. THE SYSTEM MODEL NOW IS IN THE ARMA-FORM. SPECIFICALLY, THE ADAPTIVE MINIMUM VARIANCE CONTROL (AMVC) IS ESTABLISHED, FOR BOTH TIMEINVARIANT AND TIME- VARYING SYSTEMS. THE STUDY DEALS WITH COMPARATIVE COMPUTATIONAL ANALYSIS AND PERFORMANCE. SIMULATION IS PERFORMED, UNDER THE CONSTANTS,WHICH ARE IMPOSED FROM THE PHYSICAL PROBLEM, THAT THE VARIANCE IS ALSO UNKNOWN; WHILE THE AVAILABLE MEASUREMENTS, TO BE PROCESSED, ARE COMPARABLE TO THE SYSTEM ORDER. FOR THE CASE OF MULTIVARIABLE SYSTEMS, THE SELF-TUNING REGULATOR, FOR A CLASS OF MULTIVARIABLE SYSTEMS, IS GENERALISED FOR ANY MULTIVARIABLE SYSTEM. IT IS SHOWN, VIA SIMULATIONS, THAT A NEW FORMULATION OF THE PROBLEM, A SPECIFIC MEASUREMENT DECOMPOSITION, LEADS TO A MORE EFFICIENT ALGORITHM. FINALLY, SINCE THE ADAPTIVE CONTROL ALGORITHMS HAVE A NATURALLY DECOUPLED FORM, THEIR PARALLEL IMPLEMENTATION IS PERFORMED AND THE PARALLELISM EFFICIENCY IS ESTABLISHED.

Degree

thesis:*
Grantor dc:publisher
University of Patras
Year dc:date
1987

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Λυκοθανάσης, Σπυρίδων

Subjects

dc:subject × 20

Rights

Language dc:language
gre

Identifiers

dc:identifier.*
Identifier
10.12681/eadd/0117
OAI identifier oai:identifier
oai:10442/0117

Chain of custody

source
Harvested from
Greek National Archive of PhD Theses
Base URL
phdtheses.ekt.gr/eadd_oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Λυκοθανάσης, Σπυρίδων. ΑΥΤΟΠΡΟΣΑΡΜΟΖΟΜΕΝΟΙ ΑΛΓΟΡΙΘΜΟΙ ΑΥΤΟΜΑΤΟΥ ΕΛΕΓΧΟΥ: ΣΥΓΚΡΙΤΙΚΗ ΥΠΟΛΟΓΙΣΤΙΚΗ ΑΝΑΛΥΣΗ-ΠΑΡΑΛΛΗΛΙΣΜΟΣ. University of Patras, 1987. http://hdl.handle.net/10442/hedi/0117