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Titlebook: Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis; Didier Theilliol,Józef Korbicz,Janusz Kacpr

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发表于 2025-3-21 19:55:33 | 显示全部楼层 |阅读模式
书目名称Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis
编辑Didier Theilliol,Józef Korbicz,Janusz Kacprzyk
视频video
概述Constitutes advances in Model-based and Data-driven Methods for Advanced Control and Diagnosis.Comprises of Papers presented in 16th European Workshop on Advanced Control and Diagnosis (ACD 2022).Writ
丛书名称Studies in Systems, Decision and Control
图书封面Titlebook: Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis;  Didier Theilliol,Józef Korbicz,Janusz Kacpr
描述.The book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control...The main market area of the contributions include:..Advanced fault-tolerant control, control reconfiguration, health monitoring techniques for industrial systems, data-driven diagnosis methods, process supervision, diagnosis and control of discrete-event systems, maintenance and repair strategies, statistical methods for fault diagnosis, reliability and safety of industrial systems artificial intelligence methods for control and diagnosis, health-aware control design strategies, advanced control approaches, deep learning-based methods for control and diagnosis, reinforcement learning-based approaches for advanced control, diagnosis and prognosis techniques applied to industrial problems, Industry 4.0 as well as instrumentation and sensors... .These works constitute advances in the aforementioned scientific fields and will be used by graduate as well as doctoral students along with established researchers to update themselves with the state of the art and recent advances in their
出版日期Conference proceedings 2023
关键词Advanced Fault-Tolerant Control; Control Reconfiguration; Robust Control; Maintenance Engineering; Artif
版次1
doihttps://doi.org/10.1007/978-3-031-27540-1
isbn_softcover978-3-031-27542-5
isbn_ebook978-3-031-27540-1Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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发表于 2025-3-21 20:29:04 | 显示全部楼层
Luenberger Observer Design for Robust Estimation of Battery State of Charge with Application to Lithc Regulator (LQR) optimal control framework, resulting in a computationally lightweight state estimator that also displays time optimal convergence. An application to Lithium-Titanate Oxide (LTO) battery cells is presented to illustrate the proposed approach.
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Pre-localization of Two Leaks in a Water Pipeline Using Hydraulic and Spatial Constraints defined restrictions to obtain frequency distributions of the parameters associated with both leaks. To test the feasibility and potentiality of the method, it was implemented and tested in MATLAB with synthetic data.
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Anticipating the Loss of Unknown Input Observability for Sampled LPV Systems—under some Lipschitz assumptions—an exact discretization of an extended system which translates the sampled-data unknown input estimation problem into a discrete-time LPV observer design problem with norm-bounded uncertainties. The bounds developed in this process account for the inter-sample behav
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Fault Detection and Diagnosis of PV Systems Using Kalman-Filter Algorithm Based on Multi-zone Polynonovel Fault Detection and Diagnosis (FDD) methodology based on a hybrid combination of model-based, through Kalman Filter (KF), and a statistical data-driven regression approach for online monitoring of a PV system’s DC side. This statistical approach is formulated on Multi-Zone non-linear Polynomia
发表于 2025-3-23 06:50:46 | 显示全部楼层
Parity-Space and Multiple-Model Based Approaches to Measurement Fault Estimationparity-space approach. It assumes that at most a limited number of components of the measurement fault can be non-zero. A fault is detected using the . test applied to the parity-space based residuals and then the indices of non-zero components and fault itself are estimated. The second fault estima
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