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Authors:
Sotirov, Emil Mihailov; Nikolov, Nikola Nikolaev; Сотиров, Емил Михайлов; Николов, Никола Николаев
 
Title:
MATLAB - implementation of MM2A1 – algorithm for reduced order optimal singular adaptive observation of MIMO linear discrete systems
 
Other Titles:
MATLAB - реализация на MM2A1 - алгоритъм за редуцирано по ред оптимално сингулярно адаптивно наблюдение на многомерни линейни дискретни системи
 
Date of Issue:
1999
 
Is Part of:
Годишник на ТУ-София, 50(2), 1999. Автоматика и информатика : Юбилейна научна сесия „25 години Факултет „Автоматика“ ТУ–София 07-08.06.1999 София, с. 110-120
 
Publisher:
ТУ-София
 
Identifiers:
0374-342Х [issn]
 
Type:
Article
 
Language:
eng
 
Subject:
MATLAB-implementation; приложни програми – MATLAB – приложение; автоматично управление – анализ и модели; reduced order optimal singular adaptive observation
 
Abstract:
MATLAB-implementation of an algorithm for synthesis of the new generation of discrete reduced order adaptive observers, including reduced optimal estimators of the initial state vector, identifiers of parameters and discrete reduced optimal singular (full and degenerate) adaptive observers of the current state vector, for MIMO linear discrete systems is suggested. The estimation of the initial state vector elements is not typical for the methods for synthesis of discrete adaptive observers, based only on identifiers. The synthesized MM2A1-algorithm has features such as large-scale granularity and natural parallelism, which also allow its software and hardware implementation on a parallel computer architecture.
 
Description:
Sotirov, Ljubomir Nikolaev et al. MATLAB – implementation of MM2A1 – algorithm for reduced order optimal singular adaptive observation of MIMO linear discrete systems / Lyubomir Sotirov, Nikola Nikolov. (Systems and control). // Годишник на ТУ-София, Том 50, 1999, № 2. Автоматика и информатика : Юбилейна научна сесия „25 години Факултет „Автоматика“ ТУ–София 07-08.06.1999 София, с. 110-120 : с формули. - Рез. на бълг. и англ. ез.; С библиогр.