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##### Publications (10 of 110) Show all publications
Loureiro, T., Rämä, M., Sterling, R., Cozzini, M., Vinyals, M., Descamps, M., . . . Geyer, P. (2018). District Energy Systems: A Collaborative Exchange of Results on Planning, Operation and Modelling for Energy Efficiency. In: : . Paper presented at Sustainable Places 2018 (SP 2018), 27-29 June 2018, Aix-les Bains, France (pp. 1127-1131). Basel, Switzerland: MDPI, 2(15)
Open this publication in new window or tab >>District Energy Systems: A Collaborative Exchange of Results on Planning, Operation and Modelling for Energy Efficiency
2018 (English)Conference paper, Published paper (Other academic)
##### Abstract [en]

Workshop organized by INDIGO project as a collaborative activity among EU funded projects in the area of District Heating and Cooling. The objective of the workshop was twofold: (1) to create a cluster of European funded projects working in the area of District Energy Systems; and (2) to create a networking opportunity in which to share experiences on the results and difficulties of the researches, and to identify synergies.

##### Place, publisher, year, edition, pages
Basel, Switzerland: MDPI, 2018. p. 5
##### Keywords
district energy systems, district heating and cooling, energy efficiency, planning, modelling
##### National Category
Control Engineering
##### Research subject
Control Engineering
##### Identifiers
urn:nbn:se:ltu:diva-71415 (URN)10.3390/proceedings2151127 (DOI)
##### Conference
Sustainable Places 2018 (SP 2018), 27-29 June 2018, Aix-les Bains, France
##### Projects
OPTi Available from: 2018-11-01 Created: 2018-11-01 Last updated: 2018-11-06Bibliographically approved
Castaño Arranz, M., Birk, W. & Kadhim, A. (2018). On Guided and Automatic Control Configuration Selection. In: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA): . Paper presented at 22nd IEEE International Conference on Emerging Technologies And Factory Automation (ETFA), Limassol, Cyprus, 12-15 September 2017. Piscataway, Nj: Institute of Electrical and Electronics Engineers (IEEE), F134116
Open this publication in new window or tab >>On Guided and Automatic Control Configuration Selection
2018 (English)In: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Piscataway, Nj: Institute of Electrical and Electronics Engineers (IEEE), 2018, Vol. F134116Conference paper, Published paper (Refereed)
##### Abstract [en]

This paper discusses the guided and automatic control configuration selection in large scale complex systems. Due to the trend of increasesd level of automation and connectedness which is promoted by the Industry 4.0 strategy and supported by technologies relating to cyber-physical systems and the industrial internet of things, selecting appropriate control strategies becomes increasingly important and complex. This is especially important as a control strategies will limit the achievable performance of the process system, and there are  trade-offs between complexity of the control strategies, achievable performance, vulnerability and maintainability.

The paper reviews the state of the art of methodologies that support the practitioners in taking decisions on control strategies, where two main approaches are considered, the guided one and a fully automatic one. It is shown how both approached can be conducted and examples are used to clarify the selection process.

##### Abstract [en]

Selecting appropriate control configurations becomes increasingly important and complex. This is due to the trend of increased level of automation and connectedness which is promoted by Industry 4.0 and supported by technologies relating to cyber-physical systems and the industrial internet of things. In this scenario, there are trade-offs between simplicity of the control configurations, achievable performance, vulnerability and maintainability. The paper reviews different state of the art tools before integrating them in guidelines and in automatic methods that support the practitioners in the design on control configurations.

##### Place, publisher, year, edition, pages
Piscataway, Nj: Institute of Electrical and Electronics Engineers (IEEE), 2018
##### Series
IEEE International Conference on Emerging Technologies and Factory Automation-ETFA, ISSN 1946-0740
##### Keywords
automatic control configuration selection, decentralized control, interaction measures, sparse control
##### National Category
Control Engineering
##### Research subject
Control Engineering
##### Identifiers
urn:nbn:se:ltu:diva-63153 (URN)10.1109/ETFA.2017.8247700 (DOI)000427812000135 ()2-s2.0-85044482354 (Scopus ID)978-1-5090-6505-9 (ISBN)
##### Conference
22nd IEEE International Conference on Emerging Technologies And Factory Automation (ETFA), Limassol, Cyprus, 12-15 September 2017
##### Projects
OPTi Optimisation of District Heating Cooling systems, OPTiIntegrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock, DISIREWARP
##### Funder
VINNOVAEU, Horizon 2020, 649796EU, Horizon 2020, 636834 Available from: 2017-04-25 Created: 2017-04-25 Last updated: 2018-05-29Bibliographically approved
Castaño Arranz, M., Birk, W. & Nikolakopoulos, G. (2017). A Survey on Control Configuration Selection and New Challenges in Relation to Wireless Sensor and Actuator Networks. Paper presented at 20th IFAC World Congress, Toulouse, France, 9-14 July 2017. IFAC-PapersOnLine, 50(1), 8810-8825
Open this publication in new window or tab >>A Survey on Control Configuration Selection and New Challenges in Relation to Wireless Sensor and Actuator Networks
2017 (English)In: IFAC-PapersOnLine, ISSN 1045-0823, E-ISSN 1797-318X, Vol. 50, no 1, p. 8810-8825Article in journal (Refereed) Published
##### Abstract [en]

This survey on Control Configuration Selection (CCS) includes methods based on relative gains, gramian-based interaction measures, methods based on optimization schemes, plantwide control, and methods for the reconfiguration of control systems. The CCS problem is discussed, and a set of desirable properties of a CCS method are defined. Open questions and research tracks are discussed, with the focus on new challenges in relation to the emerging area of Wireless Sensors and Actuator Networks.

Elsevier, 2017
##### National Category
Control Engineering
##### Research subject
Control Engineering
##### Identifiers
urn:nbn:se:ltu:diva-66198 (URN)10.1016/j.ifacol.2017.08.1536 (DOI)000423964900456 ()
##### Conference
20th IFAC World Congress, Toulouse, France, 9-14 July 2017
##### Projects
Integrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock, DISIREOPTi Optimisation of District Heating Cooling systems, OPTi
##### Funder
EU, Horizon 2020, 649796EU, Horizon 2020, 636834VINNOVA
##### Note

Konferensartikel i tidskrift

Available from: 2017-10-19 Created: 2017-10-19 Last updated: 2018-05-29Bibliographically approved
Kadhim, A., Castaño Arranz, M. & Birk, W. (2017). Automated Control Configuration Selection Considering System Uncertainties. Industrial & Engineering Chemistry Research, 56(12), 3347-3359
Open this publication in new window or tab >>Automated Control Configuration Selection Considering System Uncertainties
2017 (English)In: Industrial & Engineering Chemistry Research, ISSN 0888-5885, E-ISSN 1520-5045, Vol. 56, no 12, p. 3347-3359Article in journal (Refereed) Published
##### Abstract [en]

This paper proposes an automated pairing approach for configuration selection of decentralized controllers which considers system uncertainties. Following the Relative Interaction Array (RIA) pairing rules, the optimal control configuration, i.e. the configuration that fits best the pairing rules, is obtained automatically by formulating the control configuration selection problem as an Assignment Problem (AP). In this AP, the associated costs related to each input-output pairing are given by the RIA coefficients. The Push-Pull algorithm is used to solve the AP for the nominal system and to obtain the set of costs for which the resulting configuration remains optimal, also called the perturbation set. The introduction of uncertainty bounds on the RIA-based costs enables the testing of the possible violation of the optimality conditions. Examples to illustrate the proposed approach for a 3×3 system and 4×4 gasifier plant are given.

##### Place, publisher, year, edition, pages
American Chemical Society (ACS), 2017
##### National Category
Control Engineering
##### Research subject
Control Engineering
##### Identifiers
urn:nbn:se:ltu:diva-62421 (URN)10.1021/acs.iecr.6b04035 (DOI)000398248000021 ()2-s2.0-85019961627 (Scopus ID)
##### Projects
OPTi Optimisation of District Heating Cooling systems, OPTiIntegrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock, DISIRE
##### Funder
EU, Horizon 2020, 649796EU, Horizon 2020, 636834VINNOVA
##### Note

Validerad; 2017; Nivå 2; 2017-03-29 (rokbeg)

Available from: 2017-03-10 Created: 2017-03-10 Last updated: 2018-12-14Bibliographically approved
Castaño Arranz, M. (2017). On Guided and Automatic Control Configuration Selection: Application on a Secondary Heating System.
Open this publication in new window or tab >>On Guided and Automatic Control Configuration Selection: Application on a Secondary Heating System
##### Abstract [en]

This technical report provides supplementary materialto the research paper entitled ”On Guided and AutomaticControl Configuration Selection”, presented at the ETFA 2017.In that paper, different Control Configuration Selection (CCS)tools are reviewed and integrated into guided and automaticCCS methodologies. The guided CCS is a heuristic step-by-stepmethodology to be applied by practitioners, while the automaticCCS methodologies target the adaptation of such heuristicsinto algorithms which can be run in a computer and assist thepractitioners in the decision making. This report summarizesthe results of applying the introduced methodologies to a reallifeprocess: the Secondary Heating System. For an introductorybackground, preliminaries, and details on the methodologies,the reader is referred to the original research paper.

##### Series
Technical report / Luleå University of Technology, ISSN 1402-1536
##### National Category
Control Engineering
##### Research subject
Control Engineering
##### Identifiers
urn:nbn:se:ltu:diva-65819 (URN)978-91-7583-981-3 (ISBN)
##### Projects
WARPDISIREOPTi Available from: 2017-09-25 Created: 2017-09-25 Last updated: 2018-05-08Bibliographically approved
Castaño Arranz, M. & Birk, W. (2017). Online Automatic and Robust Control Configuration Selection. In: 2017 25th Mediterranean Conference on Control and Automation, MED 2017: . Paper presented at 25th Mediterranean Conference on Control and Automation, MED 2017, University of Malta, Valletta, Malta, 3-6 July 2017 (pp. 1367-1372). Piscataway, NJ: IEEE, Article ID 7984309.
Open this publication in new window or tab >>Online Automatic and Robust Control Configuration Selection
2017 (English)In: 2017 25th Mediterranean Conference on Control and Automation, MED 2017, Piscataway, NJ: IEEE, 2017, p. 1367-1372, article id 7984309Conference paper, Published paper (Refereed)
##### Abstract [en]

This paper presents a complete method for automatic and robust control configuration selection for linear systems which relies upon acquired process data under gaussian noise excitation.

The selection of the configuration  is based on the estimation of the Interaction Measure named Participation Matrix. This estimation is derived with uncertainty bounds, which allows to  determine online whether the uncertainty is sufficiently low to derive a robust decision on the control configuration to be used or if the uncertainty should be reduced  by e.g. prolonging the experiment to obtain more data.

##### Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2017
##### Series
Mediterranean Conference on Control and Automation, ISSN 2325-369X
##### Keywords
Interaction Measures, Control Configuration Selection, Control Structure Selection, Robust Control, Decentralized Control
##### National Category
Control Engineering
##### Research subject
Control Engineering
##### Identifiers
urn:nbn:se:ltu:diva-63040 (URN)10.1109/MED.2017.7984309 (DOI)000426926300224 ()2-s2.0-85027838178 (Scopus ID)978-1-5090-4533-4 (ISBN)
##### Conference
25th Mediterranean Conference on Control and Automation, MED 2017, University of Malta, Valletta, Malta, 3-6 July 2017
##### Projects
Integrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock, DISIREOPTi Optimisation of District Heating Cooling systems, OPTi
##### Funder
EU, Horizon 2020, 636834EU, Horizon 2020, 649796VINNOVA Available from: 2017-04-17 Created: 2017-04-17 Last updated: 2018-05-29Bibliographically approved
Castaño Arranz, M. & Birk, W. (2017). Prediction Error based Interaction Measure for Control Configuration Selection in Linear and Nonlinear Systems. In: : . Paper presented at 10th IFAC International Symposium onAdvanced Control of Chemical Processes, (ADCHEM 2018), Shenyang, Liaoning, China, July 25 - 27, 2018 (pp. 446-451). Elsevier, 51
Open this publication in new window or tab >>Prediction Error based Interaction Measure for Control Configuration Selection in Linear and Nonlinear Systems
2017 (English)Conference paper, Published paper (Refereed)
##### Abstract [en]

This paper introduces an interaction measure, which can be applied both to linear and non-linear systems. The measure is based on the prediction error of the structurally reduced model and is denoted Prediction Error Index Array (PEIA). The linear PEIA is constructed as an extension of previous results using the $\mathcal{H}_2$-norm. The non-linear PEIA is an extension for systems represented by a model in the form of Volterra series. Additionally, the paper gives an interpretation of both linear and nonlinear PEIA as the fraction of the power of the output signal which is expressed by the reduced model resulting from  the  control configuration selection. Several examples are used to illustrate and compare the interaction measure with established methodologies, like the relative gain array, participation matrix, and Hankel Interaction Index array.

Elsevier, 2017
##### National Category
Control Engineering
##### Research subject
Control Engineering
##### Identifiers
urn:nbn:se:ltu:diva-66326 (URN)10.1016/j.ifacol.2018.09.341 (DOI)000446604800077 ()2-s2.0-85054391486 (Scopus ID)
##### Conference
10th IFAC International Symposium onAdvanced Control of Chemical Processes, (ADCHEM 2018), Shenyang, Liaoning, China, July 25 - 27, 2018
##### Projects
OPTiWARPDISIRE Available from: 2017-10-31 Created: 2017-10-31 Last updated: 2018-10-22Bibliographically approved
Garmabaki, A., Birk, W. & Lindström, J. (2017). Software Fault Detection in Control Systems (ed.). In: (Ed.), Walls L.,Revie M.,Bedford T (Ed.), Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016. Paper presented at European Safety and Reliability Conference : European Safety and Reliability Conference 25/09/2016 - 29/09/2016 (pp. 2006-2012). CRC Press
Open this publication in new window or tab >>Software Fault Detection in Control Systems
2017 (English)In: Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 / [ed] Walls L.,Revie M.,Bedford T, CRC Press, 2017, p. 2006-2012Conference paper, Published paper (Refereed)
##### Abstract [en]

Fault detection in the software of control systems is a difficult task. In largely interconnected systems, not only the individual performance of one channel, but also its interaction with other components, must be considered. In this conceptual paper, we outline a new maintenance concept for the detection of software faults in control systems. The concept includes two approaches, morning gymnastics test and envelope analysis. The morning gymnastics test generates data for a baseline of the current operational abilities in contrast to the specified abilities and should be applied when feasible in continuous production systems. The test integrates historical and new sets of data to track degradation trends. Envelope analysis can be performed to detect operational anomalies and is based on subsequent deep analysis to distinguish software and hardware faults from each other. By using the envelope analysis it is possible to identify failures and disturbances affecting the control system. Thus, the proposed maintenance concept may facilitate detection and identification of potential failures in critical automated system.

CRC Press, 2017
##### Keywords
maintenance, Software Fault Detection, Control Systems, morning gymnastics, envelope analysis, anomalies detection, Information technology - Computer science, Information technology - Automatic control, Informationsteknik - Datorvetenskap, Informationsteknik - Reglerteknik
##### National Category
Other Civil Engineering Control Engineering
##### Research subject
Operation and Maintenance; Control Engineering
##### Identifiers
urn:nbn:se:ltu:diva-32585 (URN)000414164700286 ()2-s2.0-85016227621 (Scopus ID)71fba7cc-e4c6-4bcb-88e5-5fbe41bd9200 (Local ID)9781138029972 (ISBN)978-1-315-37498-7 (ISBN)71fba7cc-e4c6-4bcb-88e5-5fbe41bd9200 (Archive number)71fba7cc-e4c6-4bcb-88e5-5fbe41bd9200 (OAI)
##### Conference
European Safety and Reliability Conference : European Safety and Reliability Conference 25/09/2016 - 29/09/2016
Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-05-07Bibliographically approved
Kadhim, A., Birk, W. & Castaño Arranz, M. (2016). Dynamic Relative Gain Array Estimation using Local Polynomial Approximation Approach. Modeling, Identification and Control, 37(4), 247-259
Open this publication in new window or tab >>Dynamic Relative Gain Array Estimation using Local Polynomial Approximation Approach
2016 (English)In: Modeling, Identification and Control, ISSN 0332-7353, E-ISSN 1890-1328, Vol. 37, no 4, p. 247-259Article in journal (Refereed) Published
##### Abstract [en]

This article presents a procedure that utilizes the local polynomial approximation approach in the estimation of the Dynamic Relative Gain Array (DRGA) matrix and its uncertainty bounds for weakly nonlinear systems. This procedure offers enhanced frequency resolution and noise reduction when random excitation is used. It also allows separation of nonlinear distortions with shorter measuring time when multisine excitation is imposed. The procedure is illustrated using the well-known quadruple tank process as a case study in simulation and in real life. Besides, a comparison with the pairing results of the static RGA, nonlinear RGA and DRGA based on linearized quadruple tank model for different simulation cases is performed.

##### National Category
Control Engineering
##### Research subject
Control Engineering
##### Identifiers
urn:nbn:se:ltu:diva-61818 (URN)10.4173/mic.2016.4.5 (DOI)000391206900005 ()2-s2.0-85013356890 (Scopus ID)
##### Projects
Integrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock, DISIREOPTi Optimisation of District Heating Cooling systems, OPTi
##### Funder
EU, Horizon 2020, 636834EU, Horizon 2020, 649796
##### Note

Validerad; 2017; Nivå 2; 2017-02-03 (andbra)

Available from: 2017-02-03 Created: 2017-02-03 Last updated: 2018-07-10Bibliographically approved
Cancila, D., Nuzzo, V., Stoycheva, M., Birk, W., Asplund, F. & Torngren, M. (2016). Experiences and reflections on three years of CPS Summer schools within EIT Digital. In: WESE '16: Proceedings of the 2016 Workshop on Embedded and Cyber-Physical Systems Education. Paper presented at Workshop on Embedded and Cyber-Physical Systems Education (WESE) at Embedded Systems Week, Pittsburgh, PA, USA, 6 Oct, 2016. New York: ACM Digital Library, Article ID 7.
Open this publication in new window or tab >>Experiences and reflections on three years of CPS Summer schools within EIT Digital
2016 (English)In: WESE '16: Proceedings of the 2016 Workshop on Embedded and Cyber-Physical Systems Education, New York: ACM Digital Library, 2016, article id 7Conference paper, Published paper (Refereed)
##### Abstract [en]

This article provides an overview of current European Commission effort in term of educational innovation to reduce the gap between research and industry which still is a barrier to the economic development. Entrepreneurial innovation & education driving Europe's digital transformation (EIT Digital for short) is an European-based initiative fostering I&E (innovation and entrepreneurship) by integrating education, research and business at different educational levels. For instance in EIT master programmes, students work together with industries and academics to have a faster go-to-market of research results. Summer schools are part of the master programs; three of them have been organised related to CPS (cyber-physical systems), critical infrastructure and, more recently, Industry 4.0. Past and present events are discussed and the experience from these events is reported. It is further analysed how the general setup of the summer school program is affecting the educational aspects and achievement of the intended learning outcomes.

##### Place, publisher, year, edition, pages
New York: ACM Digital Library, 2016
##### National Category
Control Engineering
##### Research subject
Control Engineering
##### Identifiers
urn:nbn:se:ltu:diva-61245 (URN)10.1145/3005329.3005336 (DOI)000406149500007 ()2-s2.0-85009786131 (Scopus ID)978-1-4503-4657-3 (ISBN)
##### Conference
Workshop on Embedded and Cyber-Physical Systems Education (WESE) at Embedded Systems Week, Pittsburgh, PA, USA, 6 Oct, 2016
Available from: 2016-12-23 Created: 2016-12-23 Last updated: 2018-07-10Bibliographically approved
##### Identifiers
ORCID iD: orcid.org/0000-0002-5888-8626

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