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Incipient Sensor Fault Detection by Directly Monitoring Sliding Window Based Singular Values 11th

Incipient Sensor Fault Detection by Directly Monitoring Slid...

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11th International-Federation-of-Automatic-control (ifac) symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： Zhao, Wenqing Luo, Hao Liu, Qiang Ji, Hongquan Sheng, Nan Shandong Univ Sci & Technol Coll Elect Engn & Automat Qingdao 266590 Peoples R China Harbin Inst Technol Dept Control Sci & Engn Harbin 150001 Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110819 Peoples R China

Timely and accurate detection of incipient faults is critical to guarantee the normal operation of industrial processes. Nowadays, complex systems are usually equipped with a large number of sensors, which may be vulnerable to faults due to harsh environments. Statistical process monitoring is commonly used for fault detection purpose. Nevertheless, traditional fault detection methods are not sensitive enough to incipient faults, leading to the occurrence of many missed alarms. In this paper, the incipient fault detection task is achieved by monitoring the changes of sample singular values within a sliding window. Two incipient sensor fault types are considered, i.e. the sensor constant bias fault and sensor precision degradation fault. In addition, the rationale behind this strategy is also theoretically analyzed. Finally, a numerical example and the continuous stirred tank reactor process demonstrate the effectiveness of the proposed *** (C) 2022 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： Incipient sensor fault fault detection constant bias precision degradation singular value

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Optimal control of a Tumor-Immune System with a Modified Stepanova Cancer Model 11th

Optimal Control of a Tumor-Immune System with a Modified Ste...

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11th ifac symposium on Biological and Medical systems (BMS)

作者： Dassow, Maria Djouadi, Seddik Moussa, Kaouther Univ Tennessee Knoxville TN 37996 USA Univ Grenoble Alpes CNRS Grenoble INP GIPSA Lab F-38000 Grenoble France

In this paper, we investigate strategies for administering chemo- and immunotherapy to force a tumor-immune system to its healthy equilibrium. To solve this problem, we use Pontryagin's Maximum Principle applied to a modified Stepanova model. This model directly accounts for the detrimental effects of chemotherapy on immune cell density. Because the parameter for this interaction is unknown, we run simulations while varying the parameter to observe the effect on the system. Our results show that combined dosages of chemo- and immunotherapy over the first days of the treatment period are sufficient to force the system to its healthy equilibrium. Copyright (C) 2021 The Authors.

关键词： cancer chemotherapy immunotherapy drug delivery biological systems optimization Pontryagin's Maximum Principle

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Fast transient optimization of social distancing during Covid-19 pandemics using extremum seeking 11th

Fast transient optimization of social distancing during Covi...

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11th ifac symposium on Biological and Medical systems (BMS)

作者： Dewasme, Laurent Vande Wouwer, Alain Univ Mons UMONS Syst Estimat Control & Optimizat SECO B-7000 Mons Belgium

In this work, the application of a model-free extremum seeking strategy is investigated to achieve the hypothetical control of the covid-19 pandemics by acting on social distancing. The advantage of this procedure is that it does not rely on the accurate knowledge of an epidemiological model and takes realistic constraints into account, such as hospital capacities. The simulation study reveals that the convergence has two time scales, with a fast catch of the transient optimum of the measurable cost function, followed by a slow tracking of this optimum following the original SIR dynamics Several issues are discussed such as quantization of the sanitary measures. Copyright (C) 2021 The Authors.

关键词： real-time optimization extremum seeking covid-19 oubreak SIR modeling

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Non-linear State-space Model Identification from Video Data using Deep Encoders 19

Non-linear State-space Model Identification from Video Data ...

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19th ifac symposium on System Identification (SYSID)

作者： Beintema, Gerben, I Toth, Roland Schoukens, Maarten Eindhoven Univ Technol Dept Elect Engn NL-5600 MB Eindhoven Netherlands Inst Comp Sci & Control Syst & Control Lab Kende U 13-17 H-1111 Budapest Hungary

Identifying systems with high-dimensional inputs and outputs, such as systems measured by video streams, is a challenging problem with numerous applications in robotics, autonomous vehicles and medical imaging. In this paper, we propose a novel non-linear state-space identification method starting from high-dimensional input and output data. Multiple computational and conceptual advances are combined to handle the high-dimensional nature of the data. An encoder function, represented by a neural network, is introduced to learn a reconstructability map to estimate the model states from past inputs and outputs. This encoder function is jointly learned with the dynamics. Furthermore, multiple computational improvements, such as an improved reformulation of multiple shooting and batch optimization, are proposed to keep the computational time under control when dealing with high-dimensional and large datasets. We apply the proposed method to a video stream of a simulated environment of a controllable ball in a unit box. The study shows low simulation error with excellent long term prediction capability of the model obtained using the proposed method. Copyright (C) 2021 The Authors.

关键词： Non-linear State-Space modelling Deep Learning Pixels Multiple Shooting

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modelling technical compromises in electronics manufacturing with BPMN plus TD - an industrial use case 17th

Modelling technical compromises in electronics manufacturing...

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17th ifac symposium on Information control Problems in Manufacturing (INCOM)

作者： Quang Huan Hong Vogel-Heuser, Birgit Tech Univ Munich Inst Automat & Informat Syst D-85748 Garching Germany Vietnamese German Univ Thu Dau Mot Binh Duong Vietnam

Relocating manufacturing plants is a phenomenon nowadays due to increasing changes in markets, materials, and labour cost. Under business pressure, while transferring the manufacturing systems, some technical compromises might be taken to start the production as soon as possible. A technical shortcut can provide a short-term benefit but may introduce a long-term negative impact. This work reports an industrial use case at a world-leading electronics manufacturer during its plant relocations. The study employs the Business Process Model and Notation (BPMN) to visualize the use case. There, an enlargement of BPMN, namely BPMN+TD, is achieved to assist in modelling TD artifacts. Copyright (C) 2021 The Authors.

关键词： Business Process Modeling Integration of Knowledge/Competence in Enterprise modelling Framework PLM systems

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Performance Assessment of Different Cell-Transmission Models for Ramp-Metered Highway Networks 16th

Performance Assessment of Different Cell-Transmission Models...

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16th ifac symposium on control in Transportation systems (CTS)

作者： Alimardani, Fatemeh Baras, John S. Univ Maryland Inst Syst Res Dept Elect & Comp Engn College Pk MD 20742 USA

Throughout the past three decades, various versions of the the cell-transmission model (CTM) has been proposed. In spite of the increased attention to freeway traffic modelling via the CTM, an analysis of the currently available versions of the CTM has been missing. This study has the aim of filling this gap by comparing the performance of the popular versions of this model. To achieve this goal, four finite horizon optimal control problems with different underlying CTMs and cost functions are proposed. The traffic management control in all problems is the ramp metering control. The performance assessment is performed via simulation for a hypothetical network of highways, with different demand profiles along with the analysis of the equilibrium state in each case. The simulation results will provide a thorough comparison of the performance of these problems on different performance measures of the network and will highlight the advantages and disadvantages of each problem. Copyright (C) 2021 The Authors.

关键词： Cell-transmission model Traffic flow Highway networks Ramp metering Modeling and simulation of transportation systems Traffic control systems

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Observers for the Seidel-Herzel model of human autonomic-cardiorespiratory system 11th

Observers for the Seidel-Herzel model of human autonomic-car...

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11th ifac symposium on Biological and Medical systems (BMS)

作者： Othmane, A. Mounier, H. Univ Paris Saclay CNRS CentraleSupelec Lab Signaux & Syst F-91190 Gif Sur Yvette France Saarland Univ Syst Theory & Control Engn D-66123 Saarbrucken Germany

The Seidel-Herzel model of the autonomic-cardiorespiratory system is used in this work to derive three observers for the estimation of the concentrations of the neurotransmitters and external excitations of the sympathetic and parasympathetic systems. The observers require noninvasive measurements of respiration and blood pressure which simplifies the development of patient-specific applications. The errors stemming from model approximations and uncertain parameters are analyzed. The applicability of the approach is discussed in a simulation study. Copyright (C) 2021 The Authors.

关键词： Nonlinear observers physiology autonomic-cardiorespiratory system

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On Low-Rank Hankel Matrix Denoising 19

On Low-Rank Hankel Matrix Denoising

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19th ifac symposium on System Identification (SYSID)

作者： Yin, Mingzhou Smith, Roy S. Swiss Fed Inst Technol Automat Control Lab Zurich Switzerland

The low-complexity assumption in linear systems can often be expressed as rank deficiency in data matrices with generalized Hankel structure. This makes it possible to denoise the data by estimating the underlying structured low-rank matrix. However, standard low-rank approximation approaches are not guaranteed to perform well in estimating the noise-free matrix. In this paper, recent results in matrix denoising by singular value shrinkage are reviewed. A novel approach is proposed to solve the low-rank Hankel matrix denoising problem by using an iterative algorithm in structured low-rank approximation modified with data-driven singular value shrinkage. It is shown numerically in both the input-output trajectory denoising and the impulse response denoising problems, that the proposed method performs the best in terms of estimating the noise-free matrix among existing algorithms of low-rank matrix approximation and denoising. Copyright (C) 2021 The Authors.

关键词： Matrix denoising Hankel matrix low-rank approximation subspace methods data-driven modelling

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Enforcing symmetry in tensor network MIMO Volterra identification 19

Enforcing symmetry in tensor network MIMO Volterra identific...

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19th ifac symposium on System Identification (SYSID)

作者： Batselier, Kim Delft Univ Technol Delft Ctr Syst & Control Delft Netherlands

The estimation of an exponential number of model parameters in a truncated Volterra model can be circumvented by using a low-rank tensor decomposition approach. This low-rank property of the tensor decomposition can be interpreted as the assumption that all Volterra parameters are structured. In this article, we investigate whether it is possible to explicitly enforce symmetry of the Volterra kernels to the low-rank tensor decomposition. We show that low-rank symmetric Volterra identification is an ill-conditioned problem as the low-rank property of the exact symmetric kernels cannot be upheld in the presence of measurement noise. Furthermore, an algorithm is derived to compute the symmetric Volterra kernels directly in tensor network form. Copyright (C) 2021 The Authors.

关键词： Nonlinear system identification truncated Volterra systems tensors

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An Actor-Critic approach for control of Residential Photovoltaic-Battery systems 19

An Actor-Critic approach for control of Residential Photovol...

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19th ifac symposium on System Identification (SYSID)

作者： Joshi, Amit Tipaldi, Massimo Glielmo, Luigi Univ Sannio Dept Engn GRACE Lab Piazza Roma 21 I-82100 Benevento Italy

The rationale of shifting towards green energy, along with the cost reduction and the increasing capacity of lithium-ion batteries, has motivated the end-users to go for energy storage systems integrated with solar technology solutions. Such systems provide the end-users with greater flexibility, thereby enhancing their role as prosumers in a range of grid-management programs. In this regard, we consider a residential household equipped with a battery and photovoltaic panels, collectively known as the photovoltaic-battery (PV-B) system. We further learn (off-line) a deterministic sub-optimal policy for charging/discharging of the residential battery using an actor-critic reinforcement learning based method. Such proposed approach, named polynomial deterministic policy gradient (PDPG), does not require any model of the system and uses polynomials as function approximator, as opposed to conventional neural networks. The usefulness of the proposed approach is tested on real power data (demand and PV generation) of a residential household in Australia. Numerical simulations indicate that the proposed PDPG algorithm outperforms the OFFON control approach in terms of electricity bill savings and the model-based receding horizon control in terms of computation time. Copyright (C) 2021 The Authors.

关键词： Q-Learning Actor-Critic Photovoltaic-Battery systems Polynomial Deterministic Policy Gradient

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