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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書目名稱Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis影響因子(影響力)




書目名稱Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis影響因子(影響力)學(xué)科排名




書目名稱Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis網(wǎng)絡(luò)公開度




書目名稱Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis被引頻次




書目名稱Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis被引頻次學(xué)科排名




書目名稱Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis年度引用




書目名稱Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis年度引用學(xué)科排名




書目名稱Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis讀者反饋




書目名稱Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis讀者反饋學(xué)科排名

TSH582

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.

圓錐體

dithiolethione

極大痛苦

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.

忙碌

易改變

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

anchor

Condense

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

Noisome

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