Advances in State Estimation, Diagnosis and Control of Complex Systems

252 Pages·2021·6.529 MB·English

by  Ye Wang

Springer Theses
Recognizing Outstanding Ph.D. Research
Ye Wang
Advances in
State Estimation,
Diagnosis and
Control of Complex
Systems
Springer Theses
Recognizing Outstanding Ph.D. Research
Aims and Scope
The series “Springer Theses” brings together a selection of the very best Ph.D.
theses from around the world and across the physical sciences. Nominated and
endorsed by two recognized specialists, each published volume has been selected
foritsscientificexcellenceandthehighimpactofitscontentsforthepertinentfield
of research. For greater accessibility to non-specialists, the published versions
includeanextendedintroduction,aswellasaforewordbythestudent’ssupervisor
explainingthespecialrelevanceoftheworkforthefield.Asawhole,theserieswill
provide a valuable resource both for newcomers to the research fields described,
and for other scientists seeking detailed background information on special
questions. Finally, it provides an accredited documentation of the valuable
contributions made by today’s younger generation of scientists.
Theses are accepted into the series by invited nomination only
and must fulfill all of the following criteria
(cid:129) They must be written in good English.
(cid:129) ThetopicshouldfallwithintheconfinesofChemistry,Physics,EarthSciences,
Engineeringandrelatedinterdisciplinary fields such asMaterials,Nanoscience,
Chemical Engineering, Complex Systems and Biophysics.
(cid:129) The work reported in the thesis must represent a significant scientific advance.
(cid:129) Ifthethesisincludespreviouslypublishedmaterial,permissiontoreproducethis
must be gained from the respective copyright holder.
(cid:129) They must have been examined and passed during the 12 months prior to
nomination.
(cid:129) Each thesis should include a foreword by the supervisor outlining the signifi-
cance of its content.
(cid:129) The theses should have a clearly defined structure including an introduction
accessible to scientists not expert in that particular field.
More information about this series at http://www.springer.com/series/8790
Ye Wang
Advances in State
Estimation, Diagnosis
and Control of Complex
Systems
Doctoral Thesis accepted by
è
Universitat Polit cnica de Catalunya,
Barcelona, Spain
123
Author Supervisors
Dr. YeWang Prof. GabrielaCembrano Gennari
Department ofAutomatic Control Department ofAutomatic Control
Institut deRobòticai Informàtica Institut deRobòticai Informàtica
Industrial, CSIC-UPC Industrial, CSIC-UPC
Universitat PolitècnicadeCatalunya Universitat PolitècnicadeCatalunya
Barcelona,Spain Barcelona,Spain
Collegeof Automation
Prof. VicençPuigCayuela
Harbin EngineeringUniversity
Department ofAutomatic Control
Harbin, P. R.China
Institut deRobòticai Informàtica
Department ofElectrical Industrial, CSIC-UPC
andElectronic Engineering Universitat PolitècnicadeCatalunya
TheUniversity of Melbourne Barcelona,Spain
Melbourne, Australia
ISSN 2190-5053 ISSN 2190-5061 (electronic)
SpringerTheses
ISBN978-3-030-52439-5 ISBN978-3-030-52440-1 (eBook)
https://doi.org/10.1007/978-3-030-52440-1
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To
my family,
for their love, encouragement, and patience.
’
Supervisors Foreword
ItisagreatpleasuretointroduceDr.YeWangthesiswork,acceptedforpublication
within Springer Theses after being selected a by Spanish Committee of Automatic
Controlin2019EditionoftheBestPh.D.thesisinControlEngineering.Dr.Wang
joined the Advanced Control Group of Universitat Politècnica de Catalunya
(UPC) at the Institute of Robotics and Industrial Informatics (IRI) as a master
student to do the Master thesis in 2014. A bit later, he got a four-year Ph.D.
scholarship from the Spanish Ministry of Science and Education. Finally, he
received the UPC Ph.D. degree (Excellent Cum Laude) with the International
Mention in Automatic Control, Robotics and Computer Vision in October, 2018.
Dr.Wang’sthesis includes asignificantamountoforiginalscientifictheoretical
and practical contributions on estimation, diagnosis and control of complex sys-
tems, especially in the mathematical form of descriptor systems. The research is
fullymotivatedbyrealapplications,suchasWaterDistributionNetworks(WDNs)
andpowersystems,whichrequireacontrolsystemtoprovideapropermanagement
able to take into account their specific features and operating limits in presence of
uncertainties related to their operation and failures from component malfunctions.
Suchacontrolsystemisexpectedtoprovideanoptimaloperationtoobtainefficient
and reliable performance. As one of the main contributions of this thesis,it can be
highlighted the work devoted to build a set-based framework for uncertain
descriptor systems derived from a variety of real systems. This framework,
including two types of approaches, has been applied for state estimation and fault
diagnosis of such systems. The other part of this thesis is devoted to establish
controlstrategiesfor operationalmanagementofWDNs andpowersystems taking
into account behaviors of those systems. In particular, the thesis develops
(cid:129) robust state estimation approaches based on set theory for descriptor systems;
(cid:129) distributed set-membership approach for complex systems;
(cid:129) fault diagnosis strategies based on set theory for descriptor systems;
(cid:129) Economic Model Predictive Control (EMPC) for periodic operation with
applications to realistic complex systems;
(cid:129) fault-tolerant strategies for descriptor systems.
vii
viii Supervisors’Foreword
A significant part of Dr. Wang’s thesis has been published in high-quality top
journals and international well-recognized conferences, some of them are fruit of
joint collaborations with the research group of Prof. Sorin Olaru from the
CentraleSupélec in France and Prof. TeodoroAlamo andDavidMuñoz dela Peña
fromtheUniversityofSevilleinSpain.Thesefruitfulscientificoutputsdemonstrate
the amount of ideas behind the thesis and its quality and appealing within the
scientificcommunity.Thethesishasalsobeenimprovedbythevaluablecomments
of the external reviewers Prof. Florin Stoican and Prof. Cristina Stoica Maniu
during the Ph.D. thesis evaluation phase.
Barcelona, Spain Prof. Vicenç Puig
March 2020 Prof. Gabriela Cembrano
Foreword from CEA, the Automatic Control
Spanish Association
It is a great pleasure for us to introduce here the work of Ye Wang, awarded with
the best Ph.D. Thesis in Control Engineering during the 2017–2019 edition of the
award call organized by the control engineering group of Comité Español de
Automática (CEA), the Spanish Committee of Automatic Control.
ThisyearlyawardisaimedatrecognizingoutstandingPh.D.researchcarriedout
withintheControlEngineeringfield.Atleastoneofthesupervisorsmustbepartner
of the Spanish Committee of Automatic Control and member of the Control
Engineering group. The jury is composed by three well-known doctors in the
controlengineeringfield;twoofthemarepartnersoftheCEA,whilethethirdone
is a foreign professor.
This edition counted submissions from Ph.D. students examined between
September2017andJuly2019.Notably,thescientificproductionofthecandidates
consisted of a total of 27 publications in international indexed journals, where 19
of them are ranked in first quartile journals. This shows the high scientific quality
of the submitted Ph.Ds. All the thesis presented:
(cid:129) havebeenundertheinternationaldoctoratemention(thecandidatemusthaveat
least one international research stay out of Spain, write part of the thesis in
English, and have foreign members in the Ph.D. jury).
(cid:129) have been mostly oriented to academic research than to industrial applications.
(cid:129) were presented at international conferences. Among them, IFAC and IEEE are
considered as preferred conferences.
As a result, Ye Wang’s Ph.D. thesis was selected as the best one among an
excellent group of candidates. His Ph.D. thesis deserves the label “the best of the
best”, Springer Theses’ main motto. Not only his nomination as winner of the
Spanish control engineering context has been our great pleasure, but also to rec-
ommendhisthesisforpublicationwithintheSpringerThesescollection.Onbehalf
ix
x ForewordfromCEA,theAutomaticControlSpanishAssociation
ofCEAwewishYeWangtocontinuehisoutstandingscientificcareer,keepinghis
genuine enthusiasm. We also hope that his work may be of inspiration for other
students working in the control engineering field.
Madrid, Spain Prof. Dr. Carlos Balaguer
President of CEA
Dr. Jose Luis Guzman
Dr. Manuel Gil Ortega
Coordinators of the Control Engineering group