LEADER 04156nam 22006375 450 001 9910731475103321 005 20230613124227.0 010 $a3-031-27540-3 024 7 $a10.1007/978-3-031-27540-1 035 $a(CKB)26946636400041 035 $a(MiAaPQ)EBC30593514 035 $a(Au-PeEL)EBL30593514 035 $a(DE-He213)978-3-031-27540-1 035 $a(PPN)272264881 035 $a(EXLCZ)9926946636400041 100 $a20230613d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis /$fedited by Didier Theilliol, Józef Korbicz, Janusz Kacprzyk 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (352 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v467 311 $a9783031275395 327 $aH_infinity Stochastic State-Multiplicative Uncertain Systems-Robust Luenberger Filters -- Anticipating the Loss of Unknown Input Observability for Sampled LPV Systems -- Luenberger Observer Design for Robust Estimation of Battery State of Charge with Application to Lithium-Titanate Oxide Cells -- Fault Detection and Diagnosis of PV Systems Using Kalman-Filter Algorithm Based on Multi-Zone Polynomial Regression -- Parity-Space and Multiple-Model Based Approaches to Measurement Fault Estimation -- Online Condition Monitoring of a Vacuum Process Based on Adaptive Notch Filters. 330 $aThe book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control. The main market area of the contributions include: Advanced fault-tolerant control, control reconfiguration, health monitoring techniques for industrial systems, data-driven diagnosis methods, process supervision, diagnosis and control of discrete-event systems, maintenance and repair strategies, statistical methods for fault diagnosis, reliability and safety of industrial systems artificial intelligence methods for control and diagnosis, health-aware control design strategies, advanced control approaches, deep learning-based methods for control and diagnosis, reinforcement learning-based approaches for advanced control, diagnosis and prognosis techniques applied to industrial problems, Industry 4.0 as well as instrumentation and sensors. These works constitute advances in the aforementioned scientific fields and will be used by graduate as well as doctoral students along with established researchers to update themselves with the state of the art and recent advances in their respective fields. As the book includes several applicative studies with several multi-disciplinary contributions (deep learning, reinforcement learning, model-based/data-based control etc.), the book proves to be equally useful for the practitioners as well industrial professionals. 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v467 606 $aControl engineering 606 $aComputational intelligence 606 $aDynamics 606 $aNonlinear theories 606 $aControl and Systems Theory 606 $aComputational Intelligence 606 $aApplied Dynamical Systems 615 0$aControl engineering. 615 0$aComputational intelligence. 615 0$aDynamics. 615 0$aNonlinear theories. 615 14$aControl and Systems Theory. 615 24$aComputational Intelligence. 615 24$aApplied Dynamical Systems. 676 $a515.642 676 $a515.642 700 $aTheilliol$b Didier$01368829 701 $aKorbicz$b Józef$01368830 701 $aKacprzyk$b Janusz$021367 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910731475103321 996 $aRecent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis$93394843 997 $aUNINA