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

共 1735 条记录，以下是11-20 订阅

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Consensus control for T-S Fuzzy Multi-Aagent systems with Parametric Uncertainties 12

Consensus Control for T-S Fuzzy Multi-Aagent Systems with Pa...

引用

12th ifac symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： Cherigui, Aioub Nachidi-Labourel, Meriem Chadli, Mohammed Univ Evry Univ Paris Saclay IBISC F-91020 Evry France Icam Grand Paris Sud F-77127 Lieusaint France

This paper investigates the application of a Takagi-Sugeno (T-S) fuzzy model-based consensus control strategy for multi-agent systems subject to uncertainties Leveraging the advantages of T-S fuzzy models in handling uncertain nonlinear systems, each agent is represented using an uncertain T-S fuzzy model. The paper proposes stability conditions in terms of Linear Matrix Inequalities (LMIs) to achieve consensus in multi-agent systems, even in the presence of uncertainties Simulation results are provided to demonstrate the effectiveness of the proposed approach. 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： Multi-agent systems parametric uncertainties T-S fuzzy model Consensus control LMI

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Integration of Power to X Economy in Existing Energy System - Case Finland 12

Integration of Power to X Economy in Existing Energy System ...

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12th ifac symposium on control of Power and Energy systems (CPES)

作者： Majanne, Y. Vilhonen, V. Virtanen, A. Repo, S. Vilkko, M. Tampere Univ POB 589 FI-33014 Tampere Finland Energiequelle Oy Malminkatu 30 FI-00100 Helsinki Finland

Hydrogen or Power-to-X economy is seen as the most promising way to carry out the energy transition from fossil to renewable carbon free energy system. Electrification of the society and green hydrogen-based energy system require huge capacity increase in renewable energy production and energy transmission. This paper introduces a simulation study about the integration of green hydrogenbased energy system to existing power system structure in Finland Regional energy balances are studied with different options of locations of renewable energy and hydrogen production plants and needs for energy transportation either as electricity or hydrogen. The model includes sectoral couplings between electricity, hydrogen and heating grids and finds synergies of flexibility between different energy grids. Copyright (c) 2024 The Authors.

关键词： Hydrogen Power-to-X Energy system modelling Sector integration Optimal infrastructure

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modelling Rate of Exogenous Glucose Appearance for biomedical Applications Using Conditional Generative Models 10

Modelling Rate of Exogenous Glucose Appearance for Biomedica...

引用

10th ifac Conference on Foundations of systems Biology in Engineering (FOSBE)

作者： Noguer, Josep Contreras, Ivan Beneyto, Aleix Vehi, Josep Univ Girona Inst Informat & Applicac Modelling Identificat & Control Engn Lab Girona 17003 Spain Ctr Invest Biomed Red Diabet & Enfermedades Metab Girona 17003 Spain

The assessment of oral carbohydrate intake and its rate of exogenous glucose appearance is crucial for monitoring blood glucose in patients who suffer from diabetes and also for healthy individuals, as it is one of the major factors involved in human metabolism. Its accurate modelling is necessary when developing methodologies to mimic the physiological processes within the human body. Considering the recent advancements in data-driven methods that demand non-deterministic solutions to simulate real-life scenarios, this study proposes a novel approach based on conditional generative adversarial models to introduce realistic variability to the models in the state of the art, which are incapable of representing the full variety of scenarios due to their deterministic nature. 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： Machine learning rate of exogenous glucose appearance generative artificial intelligence type 1 diabetes mellitus

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Adaptive control of a Boost DC/DC Converter based on Artificial Intelligence 12

Adaptive Control of a Boost DC/DC Converter based on Artific...

引用

12th ifac symposium on control of Power and Energy systems (CPES)

作者： Stancioi, Cristina-Maria Muresan, Vlad Moga, Daniel Abrudean, Mihai Petreus, Dorin Sita, Ioan-Valentin Tech Univ Cluj Napoca Cluj Napoca 400114 Romania

The paper presents a solution to model and control the operation of DC/DC converters, in normal regime based on Artificial Intelligence. A solution is developed for simulating and controlling the performance of DC/DC converters, encompassing both normal and fault scenarios. The suggested model for the converter employs a transfer function mathematical model configuration with adaptable coefficients. To accommodate variable duty cycles, fully connected neural networks are utilized to determine the appropriate coefficients for the model. Additionally, a control framework capable of identifying faults and mitigating their impact is presented. This framework includes a compensator designed to prevent unstable conditions as the converter parameters deviate from their nominal values, serving as an effective fault tolerance mechanism The proposed methodology is aimed at devising algorithms suitable for real-time execution on 32-bit ARM processors. Copyright (c) 2024 The Authors.

关键词： Power Electronics control Boost DC/DC Converter Adaptive control Mathematical modelling Artificial Intelligence Renewable Energy systems 32 bit ARM (Advanced RISC Machine) processor

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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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A Stackelberg Differential Game-based Optimal Fault-tolerant control Method for Over-actuated systems 12

A Stackelberg Differential Game-based Optimal Fault-tolerant...

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12th ifac symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： Ni, Yuan Yang, Hao Xu, Yuhang Jiang, Bin Lu, Ningyun Nanjing Univ Aeronaut & Astronaut Nanjing 210016 Peoples R China

This paper focuses on the optimal fault-tolerant control problem for over-actuated systems with actuator faults. Based on Stackelberg differential game, a novel integrated method is put forward where the optimal High-level motion controller serves as the leader to give the virtual control input, and the optimal Low-level fault-tolerant allocation strategy acts as the follower to allocate the virtual control input to actuators. Adaptive Dynamic Programming is used to realize the online solution of such an integrated method. A numerical simulation is presented to verify its feasibility. 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： Optimal fault-tolerant control control allocation Stackelberg differential game Adaptive Dynamic Programming

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Adaptive Resilient control for a Class of Strict-Feedback Nonlinear systems Under Replay Attacks 12

Adaptive Resilient Control for a Class of Strict-Feedback No...

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12th ifac symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： He, Wenjing Shi, Yunkun Wang, Youqing Beijing Univ Chem Technol State Key Lab Chem Resource Engn Beijing Peoples R China Beijing Univ Chem Technol Coll Informat Sci & Technol Beijing Peoples R China

This paper focuses on adaptive tracking control for a class of strict-feedback nonlinear systems suffering from the replay attack in the sensor-controller channel. To address the challenges posed by repeating information and complex nonlinearity in nonlinear systems, an adaptive resilient controller based on the multidimensional Taylor network is designed. This controller guarantees that the tracking error converges to zero exponentially in the absence of replay attacks, and it achieves bounded tracking in the presence of replay attacks. Finally, the effectiveness of the proposed control strategy is verified using a chemical reactor with circulating flow simulation. Copyright (c) 2024 The Authors.

关键词： Nonlinear systems adaptive control resilient control multidimensional Taylor network replay attacks

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Attack Isolation in a Water Treatment Plant 12

Attack Isolation in a Water Treatment Plant

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12th ifac symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： Jia, Mengsen Zhang, Ping Univ Kaiserslautern Landau Inst Automat Control Erwin Schroedinger 12 D-67653 Kaiserslautern Germany

Cyber security of Cyber-Physical systems (CPSs) has become a significant challenge due to growing interconnection among components in critical infrastructures through networks. In this paper, a strategy for attack isolation in a water treatment plant is proposed. Real data from the Secure Water Treatment (SWaT) testbed, a scaled down water treatment system developed by the iTrust Centre, is utilized in this study. The proposed attack isolation system is composed of a dual-observer-based isolation unit, a reconstruction-based contribution isolation unit and a neural network based isolation unit. The proposed system can uniquely isolate most of the attacks on the SWaT process and isolate the rest attacks to a small group of possibilities. Copyright (c) 2024 The Authors.

关键词： Cyber Attacks Water Treatment Process Attack Isolation

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Continuous-time identification of grey-box and black-box models of an industrial oven 20

Continuous-time identification of grey-box and black-box mod...

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20th ifac symposium on System Identification (SYSID)

作者： Previtali, Davide Scandella, Matteo Pitturelli, Leandro Mazzoleni, Mirko Ferramosca, Antonio Previdi, Fabio Univ Bergamo Dept Management Informat & Prod Engn Dalmine Italy

The design of temperature controllers is impaired by the limited accuracy of the models employed for thermal systems, which are commonly estimated from uninformative data, such as step responses, due to the restrictive experimental design connected to the long duration of the experiments. This paper focuses on modelling an industrial convection oven following different rationales. Three continuous-time models are proposed and compared: a grey-box parametric thermal network model, a black-box parametric first order lag plus time delay model, and a black-box non-parametric model based on reproducing kernel Hilbert spaces. These are all estimated and validated on step response experimental data. Lastly, the pros and cons of each model are highlighted. 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： System identification and modelling Grey-box modelling Black-box modelling Continuous-time system estimation Thermal systems

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Dynamic Multiscale Hybrid modelling of a CHO cell system for Recombinant Protein Production 12

Dynamic Multiscale Hybrid Modelling of a CHO cell system for...

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

作者： Pennington, Oliver Rios, Sebastian Espinel Sebastian, Mauro Torres Dickson, Alan Zhang, Dongda Univ Manchester Oxford Rd Manchester M1 3AL Lancs England Princeton Univ Princeton NJ 08544 USA

Multiscale hybrid modelling of biosystems utilises advantageous aspects of several modelling approaches, from the physical interpretations of kinetic modelling to the power of a data-driven Artificial Neural Network (ANN). This study implements multiscale modelling to gain insight into the production of Trastuzumab (Herceptin) from Chinese Hamster Ovary (CHO) cells under challenging dynamics A reduced metabolic network is subject to enzyme constraints with a Dynamic Metabolic Flux Analysis (ecDMFA) approach and integrated within a macro-scale hybrid kinetic model. The model can simulate fed-batch processes with optimized feed control, as well as providing insight into the control gained by alteration to the cell culture media. On the intracellular level, the influence from extracellular perturbations can be observed, in addition to giving an estimated production rate of unmeasured by-products. Overall, this model can be used as a reliable digital twin to estimate the underlying fed-batch process dynamics for future model predictive control and process optimisation. 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： Machine Learning Assisted modelling Optimal control Experiment Design

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