University Librarian Centre | University of Cagliari
UniCA Eprints

Unknown Input Estimation Techniques in Networks and Applications to Open Channel Hydraulic Systems

Pillosu, Siro (2012) Unknown Input Estimation Techniques in Networks and Applications to Open Channel Hydraulic Systems. [Doctoral Thesis]

[img]
Preview
PDF
1896Kb

Abstract

This thesis is divided in two fundamental parts, namely, the Part I, in which the theoretical background of the UIO, Consensus Algorithms and Decentralized Systems is discussed; after a collection of algorithms is presented. In the Part II, some important applicative problems are addressed and solved by means of the proposed approaches. More specifically, as for the Part I, in Chapter 1 the fundamentals regarding the matrix and graph theory are recalled. In the subsequent Chapter 2 the attention is focused on the strong observability approach, and its main features are described. Chapter 3 refers to the presentation of the Consensus algorithm, while in Chapter 4 an estimation algorithm is recalled, which allows the estimation of the state in an “overlapped” system also in presence of Unknown Inputs (in Chapter 5), which are estimated as well. In the Part II the estimation problems of flow ad infiltration, in open channel hydraulic sys- tem are solved, using a UIO approach(in Chapters 6). In Chapters 7, considering open channel hydraulic system, the UIO approach is used to solve a problem of fault detection and compensation.

Item Type:Doctoral Thesis
Date:23 March 2012
Tutor:Usai, Elio
PhD classes:Ciclo 24 > Ingegneria industriale
Coordinator:Baratti, Roberto
Institution:Universita' degli Studi di Cagliari
Divisions:Dipartimenti (fino a dicembre 2011) > Dipartimento di Ingegneria elettrica ed elettronica
Subjects:Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 Automatica
Uncontrolled Keywords:Osservatori di stato, unknown input observers, consensus algorithms, canali idraulici a cielo aperto, fault detection
ID Code:725
Deposited On:25 Mar 2012 11:17

Repository Staff Only: item control page