IFAC-PapersOnLinePub Date : 2024-01-01DOI: 10.1016/j.ifacol.2024.08.371
Michael Lundh , Sudhakar Munusamy , Alf J. Isaksson , Håkan Hjalmarsson , Vivek S. Pinnamaraju
{"title":"Optimal design of sequential excitation for identification of multi-variable systems","authors":"Michael Lundh , Sudhakar Munusamy , Alf J. Isaksson , Håkan Hjalmarsson , Vivek S. Pinnamaraju","doi":"10.1016/j.ifacol.2024.08.371","DOIUrl":"10.1016/j.ifacol.2024.08.371","url":null,"abstract":"<div><p>While designing excitation signals for identification of industrial processes, it is important to obtain desired model accuracies, reduce the experimental time and limit the output amplitudes within the specified bounds to avoid serious disruptions of the nominal process operation. In this work, we design a multi-frequency multi-amplitude square wave (multi-square) input based on a nominal model by minimizing the experiment length and placing constraints on the model accuracy (in the frequency domain) and the output amplitudes. A separate design is carried out for each input where the resulting optimization problem has the same structure as a semi-definite program but with the decision variables restricted to integers corresponding to the number of half-periods of each square-wave. For processes with multiple inputs, the corresponding designs are carried out sequentially. The violations in the output constraints either due to model-plant mismatch or unmeasured disturbances should be mitigated by appropriate closed loop control actions. The efficacy of the proposed design is shown by means of a simulation case study.</p></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"58 14","pages":"Pages 409-415"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405896324011297/pdf?md5=5e5033fee9f21a351535ea9a59d6c51a&pid=1-s2.0-S2405896324011297-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142150101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reservoir computing-based slow feature analysis: Application in fault classification","authors":"Alireza Memarian , Amirreza Memarian , Seshu Kumar Damarla , Rahul Raveendran , Biao Huang","doi":"10.1016/j.ifacol.2024.08.378","DOIUrl":"10.1016/j.ifacol.2024.08.378","url":null,"abstract":"<div><p>Differentiating between various types of faults and classifying them based on their importance is essential for process fault detection and diagnosis. This classification helps operators to prioritize their actions based on the severity of the faults. This paper proposes a reservoir computing-based slow feature analysis (RCSFA) to model complex and nonlinear industrial processes and study its application in fault classification while integrated with a graph neural network (GNN) and majority voting ensemble causality detection. To make the algorithm robust to unseen faults, real-time operator feedback is included by utilizing operator eye tracking. The practical applicability of the proposed method and its application in fault classification is studied through an industrial application.</p></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"58 14","pages":"Pages 452-457"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405896324011376/pdf?md5=542c9208401361451ae59b0990dc4c5f&pid=1-s2.0-S2405896324011376-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142150108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IFAC-PapersOnLinePub Date : 2024-01-01DOI: 10.1016/j.ifacol.2024.08.344
M. Maton , F.N. Santos-Navarro , J. Picó , Ph. Bogaerts , A. Vande Wouwer
{"title":"Towards Constraint-Based Burden-Aware Models for Metabolic Engineering","authors":"M. Maton , F.N. Santos-Navarro , J. Picó , Ph. Bogaerts , A. Vande Wouwer","doi":"10.1016/j.ifacol.2024.08.344","DOIUrl":"10.1016/j.ifacol.2024.08.344","url":null,"abstract":"<div><p>Over the years, hundreds of applications have proved the effectiveness of constraint-based methods to validate the definition of metabolic networks, determine the robustness of metabolic models, and analyze the flow of metabolites through a network. However, stoichiometric models do not include information on flux capacity via enzymatic activity. Methods combining biological data from genome to metabolome have been developed to obtain improved flux predictions and constrain the range of possible flux distributions. Yet, these models still lack relevant information to design de novo metabolic pathways. Expressing the exogenous enzymes induces a cell burden due to competition for cell resources between the exogenous genes and the endogenous host ones, compromising the performance of the designed pathway. Thus, optimal selection of the expression strength of the pathway enzymes is still a challenge. Host-aware models have been developed to tackle cell burden in the context of designing increasingly complex synthetic genetic circuits in synthetic biology. This paper suggests a method to integrate host-aware gene expression models with constraint-based modeling to maximize the flux through an exogenous pathway by optimizing promoter and ribosome binding site strengths, crucial parameters that define the required transcription and translation strengths of the pathway enzymes’ genes. This study considers the formation of p-coumaric acid, shows promising results, and paves the way for further investigations.</p></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"58 14","pages":"Pages 247-252"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405896324010954/pdf?md5=0aefe9e744f227a614cc78d6ecc705bb&pid=1-s2.0-S2405896324010954-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142150584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IFAC-PapersOnLinePub Date : 2024-01-01DOI: 10.1016/j.ifacol.2024.08.355
Ascension Zafra-Cabeza , Pablo Velarde , Carlos Bordons , Miguel A. Ridao
{"title":"A Hierarchical MPC Framework to Mitigate Faults and Risks in Microgrids⁎","authors":"Ascension Zafra-Cabeza , Pablo Velarde , Carlos Bordons , Miguel A. Ridao","doi":"10.1016/j.ifacol.2024.08.355","DOIUrl":"10.1016/j.ifacol.2024.08.355","url":null,"abstract":"<div><p>This paper presents a hierarchical MPC-based control framework for a real microgrid including solar panels and batteries, that considers the uncertainty from the point of view of faults and risks (F&R) mitigation. While fault management is applied during plant operation, risk management considers external factors that can change microgrid planning in the medium-long term. Due to their different time-scales, a two-layer control scheme is proposed using Model Predictive Control (MPC) at both levels. At the bottom layer, the fault-tolerant predictive controller optimizes the operation by manipulating inputs to follow microgrid set-points. A reconfiguration strategy is implemented using structured residuals and stochastic thresholds. On the other hand, the upper layer develops an optimal mitigation strategy, also based on MPC, to reduce the effects of risks obtained from external information, i.e., unexpected changes in demands, maintenance costs, or deviations in generation. The decision variables of this layer are the selection of mitigation actions to be undertaken, which minimise a proposed multicriteria objective function. different simulations have been carried out to show the efficacy of this methodology in a F&R scenario from a stochastic point of view.</p></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"58 14","pages":"Pages 313-318"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S240589632401108X/pdf?md5=df87afe88b9e1c863da690fb78c6e2d2&pid=1-s2.0-S240589632401108X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142150595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IFAC-PapersOnLinePub Date : 2024-01-01DOI: 10.1016/j.ifacol.2024.08.358
Shouliang Hu , Ming Li , Chunlin Chen , Daoyi Dong
{"title":"Fast Quantum Gate Control with Trajectory Optimization","authors":"Shouliang Hu , Ming Li , Chunlin Chen , Daoyi Dong","doi":"10.1016/j.ifacol.2024.08.358","DOIUrl":"10.1016/j.ifacol.2024.08.358","url":null,"abstract":"<div><p>Fast quantum control helps reduce the influence of unavoided disturbances and hence plays a vital role in practical quantum technology and chemical reactions. Instead of optimizing the terminal cost like standard optimal quantum control methods, this paper formulates the problem as a trajectory optimization problem, and implements the sequential quadratic programming algorithm to search for short control fields. The core idea is to minimize the cumulative intermediate error to incentivize early achievement of the designed gate. The numerical result on the Toffoli gate demonstrates the effectiveness of the proposed method.</p></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"58 14","pages":"Pages 331-336"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S240589632401111X/pdf?md5=260612e76542abc50263995dc8535eb6&pid=1-s2.0-S240589632401111X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142150598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IFAC-PapersOnLinePub Date : 2024-01-01DOI: 10.1016/j.ifacol.2024.08.453
Kelechi U. Ebirim , Nadjim M. Horri , Emmanuel Prempain
{"title":"A 2DoF Twin Rotor MIMO System for Teaching and Research","authors":"Kelechi U. Ebirim , Nadjim M. Horri , Emmanuel Prempain","doi":"10.1016/j.ifacol.2024.08.453","DOIUrl":"10.1016/j.ifacol.2024.08.453","url":null,"abstract":"<div><p>A two-degree-of-freedom Twin Rotor MIMO (Multiple-Input-Multiple-Output) System (TRMS) is an aerodynamic laboratory equipment at the School of Engineering, University of Leicester for control theory experimentation in the undergraduate (UG) curriculum, Open-Days (ODs), Offer-Holder-Days (OHDs) and research. It is crucial in demonstrating system modelling, simulation, real-time testing, open/closed loop control, and controller design (Proportional-Integral-Derivative, Linear Quadratic Regulator, Model Predictive Control). Feedback received indicates that TRMS experiments have successfully attracted many candidates at ODs/OHDs to the UG aerospace engineering degree programme while giving current students a sense of real-world applicability. Opportunities to further enrich the UG curriculum are explored.</p></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"58 16","pages":"Pages 6-11"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405896324012229/pdf?md5=fa34af720cf5152bd2040d72a2331c9b&pid=1-s2.0-S2405896324012229-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142150864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IFAC-PapersOnLinePub Date : 2024-01-01DOI: 10.1016/j.ifacol.2024.08.456
Michael Bleier
{"title":"Sensor Cube – A Tool for Hands-on Learning of Sensor Data Processing","authors":"Michael Bleier","doi":"10.1016/j.ifacol.2024.08.456","DOIUrl":"10.1016/j.ifacol.2024.08.456","url":null,"abstract":"<div><p>This paper describes the Sensor Cube, an open-source hardware and software system for hands-on learning of sensor data processing. Various sensors, such as camera, GNSS, and inertial sensors, are included to teach sensor data analysis and processing. The sensor system is designed to work with popular operating systems without special drivers, and the data format is human-readable. Therefore, all sensor data is easily accessible through Python or C++ code without the need to learn an additional framework. In addition, the hardware design, firmware, and code examples for working with the sensor data are available as open-source.</p></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"58 16","pages":"Pages 23-28"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405896324012254/pdf?md5=206ea9e48b45a2c1af689f37deb7abcd&pid=1-s2.0-S2405896324012254-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142150867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IFAC-PapersOnLinePub Date : 2024-01-01DOI: 10.1016/j.ifacol.2024.08.488
Paolo Castaldi , Nicola Mimmo
{"title":"Representing the dynamics of student learning and interactions with a university curriculum","authors":"Paolo Castaldi , Nicola Mimmo","doi":"10.1016/j.ifacol.2024.08.488","DOIUrl":"10.1016/j.ifacol.2024.08.488","url":null,"abstract":"<div><p>The aim of the present study is to formulate a model that describes the dynamics of university students on the basis of continuous time differential equations and Petri Nets. Students are modeled by continuous time functions that represent their ability to deal with theoretical concepts and put them into practice. In addition, the curriculum is seen as a set of activities that students can select according to their willingness. The application of the model to public data of aerospace engineering students will be the subject of future work.</p></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"58 16","pages":"Pages 211-216"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405896324012576/pdf?md5=791350341e58ce70fee1936c372deb3f&pid=1-s2.0-S2405896324012576-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142151005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IFAC-PapersOnLinePub Date : 2024-01-01DOI: 10.1016/j.ifacol.2024.08.511
Freja Vandeputte , Noël Hallemans , John Lataire
{"title":"Parametric estimation of arbitrary fractional order models for battery impedances⁎","authors":"Freja Vandeputte , Noël Hallemans , John Lataire","doi":"10.1016/j.ifacol.2024.08.511","DOIUrl":"10.1016/j.ifacol.2024.08.511","url":null,"abstract":"<div><div>Electrochemical impedance spectroscopy (EIS) is a widely-used non-invasive technique for estimating the impedance of a battery from current and voltage measurements. While EIS is commonly used as a nonparametric, purely data-driven estimation method, this article proposes a parametric, physics-informed alternative. As an underlying parametric model, we use an equivalent circuit model for the battery impedance with a Warburg element to model the low-frequency diffusion. This fractional order impedance model is linear in all the parameters except one, namely the fractional order itself. Hence, we present a separable total least squares estimator, which first eliminates the linear parameters using their total least squares solution, and then minimises the resulting nonlinear least squares problem over the fractional order. Measuring multiple periods of the signals allows to weigh the problem with the noise variances, thus making the estimation consistent. The parametric estimation method is validated on simulations and applied to measurement data of commercial Samsung 48X cells.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"58 15","pages":"Pages 97-102"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405896324012916/pdf?md5=21e262f35d2d2d921dc6cfe9500864d0&pid=1-s2.0-S2405896324012916-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142310346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Li-ion cell impedance identification in the time domain as an alternative to identification in the frequency domain","authors":"Omar Arahbi , Benoît Huard , Jean-Denis Gabano , Thierry Poinot","doi":"10.1016/j.ifacol.2024.08.520","DOIUrl":"10.1016/j.ifacol.2024.08.520","url":null,"abstract":"<div><div>Electrochemical Impedance Spectroscopy (EIS) is a widely used tool for selecting a pertinent Equivalent Circuit Model (ECM) of Li-ion cells which is characterized by non integer order operators. The main drawback of EIS is the long time required to scan a whole spectrum down to low frequencies. Thus, chronopotentiometry (CP) is an alternative method which consists in identifying impedance parameters using an excitation current sequence lasting a few seconds and the corresponding induced voltage variations. An impedance fractional model needs to be synthesized in order to allow simulation also in the time domain. The pertinence of CP is demonstrated using experimental results obtained with a Samsung 3.4 Ah Li-ion cell. Due to its inability to take into account the inductive behavior, fractional model used in the time domain exhibit limitations. Nevertherless, parameters identified in the time domain present similar results to the ones identified in the frequency domain under the condition of a restricted frequency range.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"58 15","pages":"Pages 151-156"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405896324013004/pdf?md5=dbb46b39361970367708d2419bfd9142&pid=1-s2.0-S2405896324013004-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142310378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}