01866nam0 2200373 i 450 VAN0012432420240806100816.83N978331971030320191015d2017 |0itac50 baengCH|||| |||||Parameter Estimation in Fractional Diffusion ModelsKęstutis Kubilius, Yuliya Mishura, Kostiantyn RalchenkoChamBocconi UnviersitySpringer2017xix, 390 p.ill.24 cm001VAN001132412001 Bocconi & Springer seriesmathematics, statistics, finance and economics210 Berlin [etc.]Bocconi universitySpringer8VAN00235872Parameter Estimation in Fractional Diffusion Models156308960-XXProbability theory and stochastic processes [MSC 2020]VANC020428MF60J60Diffusion processes [MSC 2020]VANC021477MF62GxxNonparametric inference [MSC 2020]VANC024592MFCHChamVANL001889KubiliusKęstutisVANV095766767645MishuraYuliya S.VANV052172313976RalchenkoKostiantynVANV095767767646Springer <editore>VANV108073650*Università Bocconi <editore>VANV108809650ITSOL20250711RICAhttp://doi.org/10.1007/978-3-319-71030-3E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00124324BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-book 0836 08eMF836 20191015 Parameter Estimation in Fractional Diffusion Models1563089UNICAMPANIA04746nam 22006975 450 991048411760332120200630024411.03-030-34949-710.1007/978-3-030-34949-3(CKB)4100000011285695(MiAaPQ)EBC6216593(DE-He213)978-3-030-34949-3(PPN)258851368(PPN)248594958(EXLCZ)99410000001128569520200601d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierController Design for Distributed Parameter Systems /by Kirsten A. Morris1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (295 pages)Communications and Control Engineering,0178-53543-030-34948-9 Chapter 1. Introduction -- Chapter 2. Infinite-dimensional Systems Theory -- Chapter 3. Dynamics and Stability -- Chapter 4. Optimal Linear-Quadratic Controller Design -- Chapter 5. Disturbances -- Chapter 6. Estimation -- Chapter 7. Output Feedback Controller Design -- Appendix -- Index.This book addresses controller and estimator design for systems that vary both spatially and in time: systems like fluid flow, acoustic noise and flexible structures. It includes coverage of the selection and placement of actuators and sensors for such distributed parameter systems. The models for distributed parameter systems are coupled ordinary/partial differential equations. Approximations to the governing equations, often of very high order, are required and this complicates both controller design and optimization of the hardware locations. Control system and estimator performance depends not only on the controller/estimator design but also on the location of the hardware. In helping the reader choose the best location for actuators and sensors, the analysis provided in this book is crucial because neither intuition nor trial-and-error is foolproof, especially where multiple sensors and actuators are required, and moving hardware can be difficult and costly. The mechatronic approach advocated, in which controller design is integrated with actuator location, can lead to better performance without increased cost. Similarly, better estimation can be obtained with carefully placed sensors. The text shows how proper hardware placement varies depending on whether, disturbances are present, whether the response should be reduced to an initial condition or whether controllability and/or observability have to be optimized. This book is aimed at non-specialists interested in learning controller design for distributed parameter systems and the material presented has been used for student teaching. The relevant basic systems theory is presented and followed by a description of controller synthesis using lumped approximations. Numerical algorithms useful for efficient implementation in real engineering systems and practical computational challenges are also described and discussed.Communications and Control Engineering,0178-5354Automatic controlSystem theoryFluid mechanicsAerospace engineeringAstronauticsMechatronicsControl and Systems Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/T19010Systems Theory, Controlhttps://scigraph.springernature.com/ontologies/product-market-codes/M13070Engineering Fluid Dynamicshttps://scigraph.springernature.com/ontologies/product-market-codes/T15044Aerospace Technology and Astronauticshttps://scigraph.springernature.com/ontologies/product-market-codes/T17050Mechatronicshttps://scigraph.springernature.com/ontologies/product-market-codes/T19030Automatic control.System theory.Fluid mechanics.Aerospace engineering.Astronautics.Mechatronics.Control and Systems Theory.Systems Theory, Control.Engineering Fluid Dynamics.Aerospace Technology and Astronautics.Mechatronics.003.78Morris Kirsten Aauthttp://id.loc.gov/vocabulary/relators/aut1229036MiAaPQMiAaPQMiAaPQBOOK9910484117603321Controller Design for Distributed Parameter Systems2853096UNINA