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检索条件"任意字段=5th IFAC Symposium on Modelling and Control in Biomedical Systems"

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Grey-box modelling and identification of the industrial oven of a shrink tunnel 20

Grey-box modelling and identification of the industrial oven...

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20th ifac symposium on System Identification (SYSID)

作者： Previtali, Davide Pitturelli, Leandro Ferramosca, Antonio Previdi, Fabio Univ Bergamo Dept Management Informat & Prod Engn Via G Marconi 5 I-24044 Dalmine BG Italy

this paper presents a lumped-parameter grey-box sampled-data state-space model for the industrial oven of a shrink tunnel. the model is derived following the thermal-electrical analogy. A novel discretization strategy is developed to take into account that the sampling time of the system is equal to the lowest period of the pulse-width-modulated voltage signals which drive the heat resistors of the industrial oven. the model parameters are estimated by means of an extensive experimental campaign. Experimental results show that the derived model outperforms state-of-the-art transfer-function models while depending on fewer parameters. Copyright (c) 2024 the Authors.

关键词： System identification and modelling Grey-box modelling Sampled-data models thermal network models Discretization methods Output-error identification Shrink tunnel

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Semantic modelling of a Manufacturing Value Chain: Disruption Response Planning 18

Semantic Modelling of a Manufacturing Value Chain: Disruptio...

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18th ifac symposium on Information control Problems in Manufacturing (INCOM)

作者： Elshafei, Basem Martinez-Arellano, Giovanna Chaplin, Jack C. Ratchev, Svetan Univ Nottingham Inst Adv Mfg Nottingham England

Supply chains have been profoundly impacted by recent global disruptions, resulting in widespread shortages of parts, goods, and raw materials, significantly affecting the manufacturing sector to the extent of halting production lines completely. this paper employs semantic ontology reasoning to model a disruption in the value chain for a manufacturer, to generate and plan potential responses. First, a clear understanding of the available resources, capabilities, and entities is essential to construct a digital representation of the relationships throughout the chain. then, using ontological reasoning, the model identifies the affected processes and products specific to the disruption, subsequently suggesting a set of coordinated responses to maintain productivity. Copyright (C) 2024 the Authors. this is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Semantic Ontology Disruption modelling Supply Shortages Reasoning Engines Supply Network Resilience Automated Responses to Disruptions

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SINDy vs Hard Nonlinearities and Hidden Dynamics: a Benchmarking Study 20

SINDy vs Hard Nonlinearities and Hidden Dynamics: a Benchmar...

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20th ifac symposium on System Identification (SYSID)

作者： Ugolini, Aurelio Raffa Breschi, Valentina Manzoni, Andrea Tanelli, Mara Politecn Milan Dip Elettron Informaz & Bioingn Via G Ponzio 34-5 I-20133 Milan Italy Eindhoven Univ Technol Dept Elect Engn NL-5600 MB Eindhoven Netherlands Politecn Milan Dip Matemat Pzza Leonardo da Vinci 32 I-20133 Milan Italy

In this work, we analyze the effectiveness of the Sparse Identification of Nonlinear Dynamics (SINDy) technique on three benchmark datasets for nonlinear identification, to provide a better understanding of its suitability as a modeling tool for real dynamical systems. While SINDy is often portrayed as an appealing strategy for pursuing physics-based learning, our analysis highlights two weaknesses, i.e., the difficulties in applying this technique when dealing with unobserved states and non-smooth dynamics. Due to the ubiquity of these features in real systems in general, and control applications in particular, we complement our analysis with hands-on approaches to tackle these issues. Copyright (c) 2024 the Authors.

关键词： Grey box modelling Nonlinear system identification Machine learning

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Model-based design of the temperature controller of a shrink tunnel 12

Model-based design of the temperature controller of a shrink...

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12th ifac symposium on Advanced control of Chemical Processes (ADCHEM)

作者： Previtali, Davide Pitturelli, Leandro Ferramosca, Antonio Previdi, Fabio Univ Bergamo Dept Management Informat & Prod Engn Via G Marconi 5 I-24044 Dalmine BG Italy

Shrink tunnels are machines composed of an industrial oven and a conveyor belt;they are widely used in manufacturing applications for polymeric packaging. Manufacturing products are wrapped in a thin plastic film and inserted into the oven via the conveyor belt. the heat shrinks the plastic around the products, creating the pack. this paper presents a model-based temperature control architecture that tackles numerous goals: setpoint tracking in the presence of manual-automatic transitions, demanding disturbance rejection requirements, energy saving, and actuator limitations. the performances of the control architecture are experimentally validated on a workbench, highlighting its effectiveness in satisfying the specifications. Copyright (C)2024 the Authors. this is an open access article under the CC BY-NC-ND license (htips://***/licenses/by-nc-nd/4.0/)

关键词： Temperature control Black-box modelling MIMO systems Centralized control PID control Shrink tunnel

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modelling smart machining process towards intelligent manufacturing a case study 18

Modelling smart machining process towards intelligent manufa...

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18th ifac symposium on Information control Problems in Manufacturing (INCOM)

作者： Musalekar, Dineshkumar Patalas-Maliszewska, Justyna Lumel Alucast Sp Zoo Slubicka 1 PL-65127 Zielona Gora Poland Univ Zielona Gora Inst Mech Engn Licealna St 9 PL-65417 Zielona Gora Poland

According to the concept of Industry 4.0 (even Industry 5.0) managers strive to improve production by applying information technologies and next integrating them into operational technologies, that's enabled to transform the traditional into Intelligent Manufacturing (IM). Introduction of these changes is particularly important to improve the machining process, which is complex and dynamic In this article the smart machining process is modelled and demonstrated for a real-world case, namely manufacturing of the die casting mould in order to increase life of the die casting mould. therefore, firstly, the data was acquired based on the applied within a company information system and additionally on the IoT sensors from the diecasting machines, the moulds themselves and the process parameters which are used during the manufacturing process of the diecasting parts from such mould. Next, a model for predicting the life of the die-casting mould using regression analysis, based on acquired data was applied. the results of mould design and mould manufacturing process are ultimately visible on the die casting machines. Such gathered data is used to model the prediction of the possibilities for increasing life of the die casting was elaborated. Copyright (C) 2024 the Authors. this is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： smart machining process modelling intelligent manufacturing diecasting mould manufacturing diecasting mould Design

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Estimating cardiac mechanical efficiency in a porcine ex situ working heart model 12

Estimating cardiac mechanical efficiency in a porcine ex sit...

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12th ifac symposium on Biological and Medical systems (BMS)

作者： Pigot, Henry Steen, Stig Soltesz, Kristian Lund Univ Dept Automat Control Lund Sweden Lund Univ Skane Univ Hosp Dept Cardiothorac Surg Lund Sweden

We introduce a method for assessing cardiac mechanical efficiency via a porcine ex situ biventricular working heart model, designed to closely replicate physiological conditions and improve the evaluation of donor heart viability for transplantation. the method aims to provide decision support for the safe utilization of hearts that might otherwise be discarded. Quantifying the heart's pumping work against its chemical energy yield, our model advances traditional assessments by incorporating dynamic flow impedances to simulate real-world cardiac loads. We calculate mechanical efficiency by measuring aortic pressure, cardiac output, coronary flow, and blood-gas parameters in six porcine hearts beating in isolation, outside of the body, against computer-controlled dynamic flow impedances. the observed mean mechanical efficiency was 8.0 +/- 0.8 % (standard error of the mean), below the physiological norm of 25 %. this discrepancy underscores the influence of ex situ conditions on heart performance, as well as the limitations of standard estimation methods. Impacts of the ex situ setup as well as estimation improvements are discussed. Future research will explore integrating imaging technologies (MRI) to refine mechanical efficiency assessment. Copyright (c) 2024 the Authors. this is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： artificial organs and biomechanical systems decision support systems for the control of physiological and clinical variables cardiac mechanical efficiency biomedical system modelling ex situ working heart model functional heart assessment

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Using Redistribution Index to Identify an Outdated Detail Prior in the DCT-based 3D EIT Algorithm 12

Using Redistribution Index to Identify an Outdated Detail Pr...

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12th ifac symposium on Biological and Medical systems (BMS)

作者： Chen, Rongqing Krueger-Ziolek, Sabine Battistel, Alberto Rupitsch, Stefan J. Moeller, Knut Hsch Furtwangen Inst Tech Med ITeM Jakob Kienzle Str 17 Villingen Schwenningen Germany Univ Freiburg Fac Engn Georges Kohler Allee 101 Freiburg Germany

the integration of detailed prior information obtained from morphological images into the discrete cosine transformation (DCT) based 3D electrical impedance tomography (EIT) algorithm significantly enhances the interpretability of the obtained results. However, the presence of outdated detail priors may introduce inaccuracies, thereby compromising the accuracy of clinical decisions. Consequently, detecting outdated detail priors in an EIT algorithm is essential for ensuring the reliability of the reconstruction results. To address this concern, we propose the redistribution index to assess and quantify potential errors associated with detailed priors. Simulations covering various atelectasis scales were conducted to evaluate the redistribution index behavior. An increase is observed in the redistribution index, escalating from 0.02 at 64% atelectasis to 0.50 at 0% atelectasis when the detail prior is outdated. the redistribution index from the accurate detail prior remains small and stable. this finding demonstrates that the redistribution index effectively detects outdated detail priors, but consideration of specific application requirements and tolerances in the clinical setting is necessary. Copyright (C) 2024 the Authors. this is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： biomedical imaging systems biomedical system modeling simulation and visualization model formulation decision support systems for the control of physiological and clinical variables

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Subglottal Impedance-Based Model Parameter Estimation via System Identification 20

Subglottal Impedance-Based Model Parameter Estimation via Sy...

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20th ifac symposium on System Identification (SYSID)

作者： Fontanet, Javier G. Yuz, Juan I. Garnier, Hugues Espinoza, Victor M. Zanartu, Matias Univ Tecn Federico Santa Maria Dept Elect Engn Ave Espana 1680 Valparaiso Chile Univ Lorraine CNRS CRAN F-54000 Nancy France Univ Chile Dept Sound Santiago Chile

Accurate mathematical modeling of different systems of the human body stands as a key issue in medical and bioengineering applications. this paper specifically considers the continuous-time parameter estimation of the impedance-based mathematical model a mechano-acoustic representation of the subglottal system. this approach allows the customization of the model for each patient. A key advantage of having a patient-dependent model of the subglottal system is to facilitate the ambulatory non-invasive monitoring of the glottal airflow and the assessment of vocal functions, using an accelerometer on the neck skin surface. For this model of the subglottal system, the glottal airflow is the excitation signal, while the acceleration on the neck skin is the system response. In this study, continuous-time parameter estimation of the impedance-based model for the subglottal system is applied, using both frequency response and sampled data through system identification techniques. Copyright (C) 2024 the Authors. this is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： biomedical system modeling continuous-time model estimation frequency domain identification parametric optimization signal processing

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Predictive Framework for Electrical Stimulation Cycling in Spinal Cord Injury 12

Predictive Framework for Electrical Stimulation Cycling in S...

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12th ifac symposium on Biological and Medical systems (BMS)

作者： Cardoso de Sousa, Ana Carolina Font-Llagunes, Josep M. Univ Politecn Cataluna Dept Mech Engn Barcelona Spain Inst Recerca St Joan de Deu Esplugas de Llobregat Spain

Enhancing the efficacy of spinal cord injury (SCI) rehabilitation is crucial for a patient's optimal recovery. While functional electrical stimulation (FES) cycling stands as a standard therapy, achieving notable improvements proves challenging due to the inherent complexities embedded in the dynamics of the movement. Indeed, overcoming the time-consuming parameter selection process becomes imperative, prompting the development of predictive models through optimal control simulation. the current challenge lies in the demand for a blueprint that considers the unique particularities of SCI FES cycling. In response, our innovative approach introduces a novel framework and showcases its application in solving predictive models. Leveraging open-source tools, including OpenSim and Blender, we built the FES cycling model. Subsequently, we outlined two problems formulations within OpenSim Moco: (P1) moving from point A to point B with different crank resistances, and (P2) tracking target speeds. Our study reveals the successful convergence of these simulations, demonstrating the integrated framework's robustness and efficiency. Indeed, the presented solution addresses the need for multiple simulations, thereby mitigating the lengthy constraints of prior methods and paving the way for practical and time-effective integration of digital twins in clinical applications. Copyright (C) 2024 the Authors. this is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Rehabilitation engineering including rehabilitation robotics biomedical system modelling Simulation and visualization

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How to Model Human Robot Collaborative Logistics systems: Systematic Literature Review and Future Perspectives 18

How to Model Human Robot Collaborative Logistics Systems: Sy...

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18th ifac symposium on Information control Problems in Manufacturing (INCOM)

作者： Zhang, Minqi Grosse, Eric H. Saarland Univ Chair Digital Transformat Operat Management Fac Human & Business Sci Saarbrucken Germany

thanks to rapid technological developments in robotics, various automation technologies have been introduced into different logistics systems. A human robot collaborative logistics system can contain different technologies. Until now, most studies have focused on technologies that could only partially automate the logistics process. In contrast, some market-ready products exist with which the entire logistics process could be automated. An example is the hybrid order picking system, which utilizes autonomous mobile robots to conduct picking and transporting tasks and can be integrated into manual warehouses. In this case, human workers and robots can be modeled as heterogeneous agents with strengths and weaknesses. To date, the issue of how to model these logistics systems has remained largely unaddressed. Inspired by this system, this work intends to contribute to the discussion of possible (analytical) modeling approaches to leverage the strengths of both humans and robots to achieve better outcomes. To this end, a systematic literature review was conducted to find usable approaches in adjacent disciplines. We identified modelling approaches in the field of last-mile delivery, in-house transportation, assembly, and robotics, which considered a (human-robot) heterogenous team in the task allocation. Efforts are then made to construct a framework for possible design variables for such logistics systems to offer promising insights and perspectives for future research. Copyright (C) 2024 the Authors. this is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Logistics Human robot collaboration Order picking Mathematical modelling Systematic literature review

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